AI Software Engineer Jobs

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De parte de GabrielEste proceso incluye relocation a San Francisco.Domu presenta una oportunidad para adelantar tu carrera varios pasos.En un mapa de carrera puede tomarte más de 5 años tener los logros, la experiencia y el perfil para conseguir una oferta para trabajar en San Francisco. Tener una YC en el cinturón trabajando en San Francisco cambia la pendiente de tu carrera para siempre. Domu tiene una cultura de trabajo intensa, enfocada en perfiles enérgicos - tiene más ventas y crecimiento que lo que puede manejar el equipo de ingeniería actual, y por eso se trabaja muy intensamente. Este proceso lo manejo yo personalmente. Te voy a dar apoyo end-to-end para inmigración, preparación de entrevistas y counseling. Y vos vas a tener que poner todo lo que tenés para tener una chance.Los perfiles que voy a buscar tienen al menos 3 años de experiencia laboral en una startup y necesitan estar completamente comprometidos a prepararse para esta life-changing opportunity.About Domu Technology Inc.Why you should consider joiningDomu.ai is one of the very first voice-AI startups powering collections and servicing for the world’s biggest financial institutions. Only a handful of companies have entered this space, and we’re already handling thousands of live calls every day for Fortune 500 banks and insurers. Our ARR has tripled, and we’re on track to become the gold standard in financial-services voice AI.We move fast, ship daily, and refuse to stop until our product outperforms expectations. We deeply care about doing great work.CultureHeavy GrindingGo to the office every dayhigh-urgencygreat work0 egoWhat you'll doTake ownership of the entire product and make decisions at the product level instead of merely following orders.Talk with customers.Do what others don’t want to do. You may need to get into areas like telephony.Encourage the team to improve continuously.Make architectural decisions.Help shape the engineering culture.Ensure our DX is exceptional and makes it easy to ship day 1.Spend a significant portion of your time coding, likely over 80%.You're a fit ifYou were the first hire at another company.You were part of a startup post-Series A from the beginning of the company.You're comfortable building full-stack features.You care about product, not just code.You've owned something meaningful end-to-end in the past (a product module, an infra refactor, etc).You're resourceful and comfortable with ambiguity. You figure things out.Why join usYou'll be part of a strong engineering-first culture. It's still early to join the team.Post-revenue, working with Fortune 500 companies alongside a small engineering team of 4 full-time engineers.Full ownership and trust, with zero bureaucracy and ego.You want to work with enterprises and learn how to close enterprise deals from an engineering perspective.You want to join a team that considers itself A players and strives to improve every day, nonstop.

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About Faculty At Faculty, we transform organisational performance through safe, impactful and human-centric AI. With more than a decade of experience, we provide over 350 global customers with software, bespoke AI consultancy, and Fellows from our award winning Fellowship programme. Our expert team brings together leaders from across government, academia and global tech giants to solve the biggest challenges in applied AI. Should you join us, you’ll have the chance to work with, and learn from, some of the brilliant minds who are bringing Frontier AI to the frontlines of the world.We operate a hybrid way of working, meaning that you'll split your time across client location, Faculty's Old Street office and working from home depending on the needs of the project. For this role, you can expect to be client-side for up-to three days per week at times and working either from home or our Old street office for the rest of your time. What you'll be doing:As a Data Scientist in our Defence business unit you will be part of project teams that deliver bespoke algorithms to our clients across the Defence sector. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes.Faculty has earned wide recognition as a leader in practical data science. You will actively contribute to the growth of this reputation by delivering courses to high-value clients, by talking at major conferences, by participating in external roundtables, or by contributing to large-scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project.Thanks to Faculty platform, you will have access to powerful computational resources, and you will enjoy the comforts of fast configuration, secure collaboration and easy deployment. Because your work in data science will inform the development of our AI products, you will often collaborate with software engineers and designers from our dedicated product team.Who we're looking for: Proven experience in either a professional data science position or a quantitative academic fieldStrong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframeAn excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe)A high level of mathematical competence and proficiency in statisticsA solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skillAn appreciation for the scientific method as applied to the commercial world; a talent for converting business problems into a mathematical framework; resourcefulness in overcoming difficulties through creativity and commitment; a rigorous mindset in evaluating the performance and impact of models upon deploymentSome commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside our clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audienceExperience leading a team of data scientists (to deliver innovative work according to a strict timeline) as well as experience in composing a project plan, in assessing its technical feasibility, and in estimating the time to deliveryWhat we can offer you: The Faculty team is diverse and distinctive, and we all come from different personal, professional and organisational backgrounds. We all have one thing in common: we are driven by a deep intellectual curiosity that powers us forward each day. Faculty is the professional challenge of a lifetime. You’ll be surrounded by an impressive group of brilliant minds working to achieve our collective goals. Our consultants, product developers, business development specialists, operations professionals and more all bring something unique to Faculty, and you’ll learn something new from everyone you meet.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doDesign and deliver production-grade AI agents: You'll build and ship highly performant, reliable, and intuitive AI agents that are central, mission-critical and drive revenue directly to Sierra's growth. These aren't prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce.Drive the Agent Development Life Cycle (ADLC): You'll have complete ownership and autonomy from initial pilot through deployment and continuous iteration. You'll be responsible for building, tuning, and evolving AI agents in production environments, defining the standard for ADLC best practices along the way.Partner with large enterprises and cutting-edge startups: You’ll work directly with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and build AI agents that transform how they operate at scale. You'll also partner with the most cutting-edge startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Build the future of the platform: Your direct work with customers will guide the evolution of Sierra's core platform. You'll surface unmet needs, prototype new tools and features, and collaborate with research, product, and platform to shape the future of AI agent development and Sierra's product.Example projectsThese are some examples of projects that engineers on our team have worked on recently:Design and build AI agents for large telecommunications and media companies that consistently outperform human agents in managing subscription churnDevelop and refine AI agents capable of navigating complex customer interactions, like troubleshooting a broken device and personalizing product recommendationsCreate generalizable AI agent frameworks tailored for industry-specific use cases. See some examples in our financial services blog!Facilitate design partnerships for new product initiatives, such as new agent architectures, self-service capabilities, and generative agent developmentExperiment with the latest voice models and figure out how to integrate them at scale to enterprise-grade customersWhat you'll bringExperience building and scaling end-to-end production systemsStrong technical problem-solving skills, especially in fast-changing, ambiguous environmentsA builder and tinkerer’s mindset with high agency - you find creative ways to overcome obstacles and shipComfort working directly with customers to understand their needs and solve real-world problemsExcellent communication skills - clear, direct, and persuasive across technical and non-technical audiencesEven better...Experience building or deploying AI/LLM systems in productionHave been a founder or founding engineer - you know what it means to balance craft, ownership, and speedFamiliarity with tools that power today's AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoPrevious roles where you interfaced with customers or led technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. Program overviewAPX is Sierra’s rotational program to develop the next generation of AI builders.In the age of AI, we believe generalists with diverse training and experience will become more important and empowered than ever. Instead of specializing early in an engineering, product management, or business subfield, the next generation of AI leaders will be able to do everything it takes to create, ship, and distribute great products.As an APX, you’ll be among the first to live in this exciting future. You’ll build AI agents directly with top global brands and gain access to comprehensive training opportunities, both as an Agent Engineer and Agent Product Manager. If you’re hungry to shape and learn from the most important technological wave of our lifetimes, come build at Sierra.The APX program is open to students graduating from undergraduate or Master’s programs by June 2026.What you’ll doBuild and ship AI agents for Sierra’s customers in a fast-paced, production environment.Write code and design features that directly impact customer-facing agent performance.Learn how we build agents that operate at scale and evolve through real-world usage.Collaborate closely with engineers, product managers, and operators across the company.Participate in internal reviews and product discussions to push the boundaries of what agents can do.Preferred qualificationsPursuing a bachelor’s or Master’s degree (or comparable program) in Computer Science or a related field.Professional experience in software engineering or product management, especially with customer-facing responsibilities.Expertise in React, TypeScript, Python, Go, and other modern programming languages.Demonstrated curiosity and interest in AI applications (e.g., research, jobs, side projects).Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Location: Buenos Aires, Argentina (Hybrid)About The Mobile-First CompanyMost tools for small businesses weren’t built for real operators. They were built for employees in offices, not people running a business from their phone.We’re changing that.We build mobile-first business software that feels like a consumer app, runs on AI, and spreads like a creator brand. Our first product, Allô, gives you a second number on your phone, answers missed calls with AI, transcribes everything, and syncs it to your CRM.Over 20,000 businesses use it every day. Next up: expenses, invoicing, and more.We’ve raised +5 million dolars from Lightspeed, EMBLEM, and 30+ top operators. Our team is based in Paris, Buenos Aires, Miami.Drive the evolution of our backend technology, infrastructure, and AI capabilities to ensure high performance, scalability, and seamless integration for our mobile applications.What will you do:Work side by side with our CTO to build the foundations, the present, and the future of our backend, and AI systems.Develop and enhance backend systems for both existing and new applications in conjunction with mobile engineers.Contribute to systems design, infrastructure planning, CI/CD processes, and data workflows.What you'll be working on:Implementing and maintaining scalable and reliable backend systems using languages like Kotlin, Java, Go, Python or similar.Designing and defining backend tools, databases, and the architecture of our apps.Working directly with Cloud services (e.g., AWS, Supabase, Cloudflare).Creating tools, libraries, or components to enhance the efficiency of backend development processes.What we’re looking forBackend Engineering:Proficiency in backend development with expertise in languages like Kotlin, Java, Go, Python or similar.Familiarity with database design, management, and optimization.Track record of building and maintaining scalable and reliable backend systems.Experience with AI is a strong plus, especially in applying models to real-world product use cases and optimizing performance in production environments.Systems Architecture:Expertise in designing scalable and maintainable backend architectures, understanding when to apply different architectural patterns.Capable of monitoring the whole architecture using tools like New Relic or Datadog.Performance and dataYou know how to build scalable and maintainable codeYou care about what to measure and how it impacts business and usersYou track behavior, usage, and performance, and improve based on itHow you thinkYou care about why we build things, not just how.You ask smart questions, challenge ideas when needed, and help shape what’s next.You think in terms of user value and business impact.How you workYou communicate clearly, give feedback with no ego, and help others grow.You move fast, take ownership, and thrive in ambiguity.You're comfortable working in English — and in a small team with big goals.What matters to usYou’ve worked in product companies6+ years of experience designing and building high-performance systems used by millions.You’re proactive, autonomous, and know how to fill the gapsYou can communicate in English, since that's our official language. Most of the team also speaks Spanish and French.What we offerCompetitive salary (in USD or local equivalent)Equity package10-day team retreats abroad every quarter30-day onboarding in Paris (we cover flights and housing)Laptop and work setup of your choicePrivate health insurance (for US or LATAM hires)A tight, ambitious team building something real — fastThe Interview Process:Silver.dev Recruiter ScreeningClient People Interview Client Technical InterviewClient Behavioral Interview

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Who we are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards.  As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously.  We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications.  The role The Manufacturing Engineer in the mechatronic systems area plays a pivotal role in optimising production processes, ensuring the highest standards of quality, efficiency, and compliance for mechatronic systems, assemblies and components. This position focuses on the practical application of engineering principles to the factory floor, collaborating across multidisciplinary teams to bring innovative designs to fruition and maintain seamless operations. The day-to-day  Develop, evaluate, and continuously improve manufacturing processes to enhance efficiency, quality, and cost-effectiveness. • Design and implement manufacturing tools, equipment, and procedures, ensuring optimal workflow and equipment layout. • Collaborate closely with design, production, and quality teams to ensure the manufacturability of new products and adherence to specifications. • Support new product introductions (NPI) by developing production plans and assisting with prototypes. • Analyse production data to identify trends, address issues, and recommend process improvements. • Conduct root cause analysis for manufacturing issues and implement effective corrective actions to prevent recurrence. • Ensure strict compliance with aerospace industry standards, safety regulations, and quality management systems (e.g., AS9100). • Prepare and maintain detailed manufacturing documentation, including work instructions, routings, process specifications, and technical reports. • Apply Lean Manufacturing principles and Six Sigma methodologies to eliminate waste, improve productivity, and drive continuous improvement initiatives. • Provide technical guidance and support to the production team. You should apply if you • Bachelor's degree in Manufacturing Engineering, Aerospace Engineering, Mechanical Engineering, or a closely related field from an accredited institution. • 2-3+ years of experience in manufacturing engineering, preferably within the aerospace or defense industry. • Proficiency with CAD software (e.g., SolidWorks, CATIA, NX, Inventor) for designing and modifying parts and assemblies, and creating detailed 3D models and technical drawings. • Strong understanding of aerospace materials and processes, including composite materials and CNC machinery. • Knowledge of quality control standards, including statistical process control and inspection techniques. • Excellent problem-solving skills with an analytical mindset and attention to detail. • Strong verbal and written communication skills, with the ability to effectively collaborate across departments and document processes. • Familiarity with data analysis tools and manufacturing execution systems (MES). Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Join Helsing and work with world-leading experts in their fields  Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer A focus on outcomes, not time-tracking Competitive compensation and stock options Relocation support Social and education allowances Regular company events and all-hands to bring together employees as one team across Europe A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one    Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation.  Helsing's Candidate Privacy and Confidentiality Regime can be found here.     

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About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work. We are a dynamic, collaborative team passionate about AI and its potential to transform society.Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. Role Summary  • As our AI Solution Architect, you'll be the catalyst driving the adoption and scaling of cutting-edge AI solutions. It's a purely IC role.• You'll work at the intersection of innovation and impact, empowering businesses to leverage GenAI for transformative results.• You'll partner with Sales Executives in tailoring Mistral's offering into impactful solutions meeting with prospects needs• You'll design implementation projects and scope the required resources on both Mistral and customer side• You'll guide companies in integrating GenAI solutions, making AI a tangible part of their operations.• You'll drive the scaling of GenAI technologies, ensuring seamless transitions from concept to production.• You'll partner closely with our product and science teams to deliver state-of-the-art AI solutions tailored to client needs.• You'll tackle complex business problems with AI, delivering measurable outcomes and strategic advantages.• You'll contribute to the evolution of AI technology, influencing how businesses operate and compete in the modern world.• You will travel approximately 30 to 60% of your time.• Your role will involve spending time at the client’s office. What you will do Your scope will be as follows: Pre-Sales & Sales Activities:• Conduct pre-sales calls to understand potential clients' needs, challenges, and aspirations.• Lead qualification calls to pinpoint prospects who would gain the most from our solutions.• Collaborate with the sales team to advance the sale pipeline, providing technical expertise and insights where necessary. Product Implementation, Integration & Deployment:• Guide and support customers in deploying our models and products into their infrastructure.• Work closely with customers to fine-tune models according to their specific requirements.• Assist clients in integrating our APIs into their front-end interfaces, ensuring a smooth user experience.• Regularly liaise with the product and technical teams to relay feedback and suggest improvements.• Design and develop product features that would meet the need of many customers. Customer Success & Support:• Continually ensure that the customer is maximizing the product's potential.• Provide post-deployment support, addressing any issues or challenges that arise promptly.• Conduct periodic reviews with customers to ascertain their satisfaction and gather feedback.• Offer recommendations for product optimisations or new features based on customer feedback.• Develop these features if needed. Delivering value to the customers:• Execute on effective technical discovery to understand potential clients' needs, challenges, and desired outcomes in collaboration with Account Executives.• Contribute to effectively identifying, qualifying, and disqualifying opportunities where Mistral solutions can unlock the most value for the customer. • On the project, Influence evaluation criteria and gain control of evaluations and the evaluation process• Create a strategic vision for the customer on the project, based on a deep understanding of their strategy, desired positive business outcomes, and required capabilities.   About you • You hold a degree in a relevant scientific field (e.g., Computer Science, Data Science, Engineering, etc.)• You have been involved in a customer facing role• Passion for AI, with a constant drive to stay updated and ahead of the curve• Proven experience in product implementation in AI or machine learning products• You have strong project & stakeholder management skills• You are proficient in developing custom prototypes using frameworks in Python or Javascript• You have foundational knowledge in AI/ML/Data science• Proficient in understanding and developing code• Familiarity with front-end interfaces and integration processes.• You have ability to connect technology and business value • You are result driven and resilient• Fluent in English • Being familiar with sales qualification concepts is a strong plus We are looking for adaptable team players who excel in a fast-paced environment and are ready to frequently support pre-sales as well as deployment tasks, contributing to our shared goals and success. Hiring Process • Talent Acquisition screening call• 30min Hiring Manager Interview • 45min Business Acumen Interview • 60min Technical Deep Dive on LLMs • Panel (Home Prep & Restitution)• 30min Value Talk • Reference check

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CSQ426R218 We have 5 open positions based in our Germany offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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CSQ326R414 We have 5 open positions based in our Germany office. This role can be remote or be based out of our Munich or Berlin offices.  As a Big Data Solutions Architect (Resident Solutions Architect) in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks Data Intelligence Platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead. The impact you will have: You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases Work with engagement managers to scope variety of  professional services work with input from the customer Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. What we look for: Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in-depth knowledge of industry best practices Comfortable writing code in either Python or Scala Enterprise Data Warehousing experience (Teradata / Synapse/ Snowflake or SAP) Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps  Design and deployment of performant end-to-end data architectures Experience with technical project delivery - managing scope and timelines. Documentation and white-boarding skills. Experience working with clients and managing conflicts. Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects. Travel is required up to 10%, more at peak times. Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About the TeamThe Solutions Architecture team is responsible for ensuring the safe and effective deployment of Generative AI applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, working to build an effective backlog of GenAI use cases for their industry and drive them to production through strong technical guidance. As a Solutions Architect, you’ll help the largest companies transform their business through solutions such as customer service, automated content generation, and novel applications that make use of our newest, most exciting models.About the RoleWe are looking for a driven solutions leader with a product mindset to partner with our customers and ensure they achieve tangible business value with GenAI. You will pair with senior customer leaders to establish a GenAI strategy and identify the highest value applications. You’ll then partner with their technical teams to move from prototype through production. You’ll take a holistic view of their needs and design an enterprise architecture using ChatGPT, OpenAI API, and other services to maximize customer value. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Head of Technical Success, APAC.This role is based in Sydney, Australia. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employeesIn this role, you will:Deeply embed with our most strategic platform customers as the technical lead, serving as their technical thought partner to ideate and build novel applications on our API.Work with senior customer stakeholders to identify the best applications of GenAI in their industry and to build/qualify a comprehensive backlog to support their AI roadmap.Intervene directly to accelerate customer time to value through building hands-on prototypes and/or by delivering impactful strategic guidance.Forge and manage relationships with our customers’ leadership and stakeholders to ensure the successful deployment and scale of their applications.Contribute to our open-source developer and enterprise resources.Scale the Solutions Architect function through sharing knowledge, codifying best practices, and publishing notebooks to our internal and external repositories.Validate, synthesize, and deliver high-signal feedback to the Product and Research teams.You’ll thrive in this role if you:Have 6+ years of technical consulting (or equivalent) experience, bridging technical teams and senior business stakeholders.Are an effective and polished communicator who can translate business and technical topics to all audiences.Have led complex implementations of Generative AI/traditional ML solutions and have knowledge of network/cloud architecture.Have industry experience in programming languages like Python or Javascript.Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s promise to our customers is to provide them with the software and support needed to accelerate their Data Science and Machine Learning maturity. Dataiku’s Data Science team is responsible for delivering on that promise. As a Data Scientist at Dataiku, you will have the opportunity to participate in our customers' journeys, from supporting their discovery of the platform to coaching users and co-developing data science applications from design to deployment. You will work mostly for our customers in the financial services and insurance industries. You will get hands-on experience coding in multiple languages (mostly Python, occasionally R, SQL, Pyspark, JavaScript, etc.) and applying the latest big data technologies to business use cases. Our ideal candidate is comfortable learning new languages, technologies, and modelling techniques while being able to explain their work to other data scientists and clients.  Key Areas of Responsibility (What You’ll Do) Help users discover and master the Dataiku platform through user training, office hours, demos, and ongoing consultative support. Analyse and investigate various kinds of data and machine learning applications across industries and use cases. Provide strategic input to the customer and account teams that help make our customers successful. Scope and co-develop production-level data science projects with our customers. Mentor and help educate data scientists and other customer team members to aid in career development and growth. Experience (What We’re Looking For) French and English - fluent Curiosity and a desire to learn new technical skills. Empathy and an eagerness to share your knowledge with your colleagues, Dataiku’s customers, and the general public. Ability to clearly explain complex topics to technical as well as non-technical audiences. Over 5 years of experience with coding (Python, R, SQL). Over 5 years of experience building ML models.   Understanding of underlying data systems and platform mechanics such as Cloud architectures, K8S, Spark, and SQL.  Bonus points for any of these Experience with Consulting and/or Customer-facing Data Science roles. Experience in the bank & insurance, or manufacturing industries. Experience with Spark, SAS, Data Engineering or MLOps. Experience developing web apps in JavaScript, RShiny, or Dash. Experience building APIs. Experience using enterprise data science tools. Passion for teaching or public speaking. #LI-Hybrid  What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

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About Us Observe.AI enables enterprises to transform how they connect with customers - through AI agents and copilots that engage, assist, and act across every channel. From automating conversations to guiding human agents in real time to uncovering insights that shape strategy, Observe.AI turns every interaction into a driver of loyalty and growth. Trusted by global leaders, we’re creating a future where every customer experience is smarter, faster, and more impactful. Why Join Us We are seeking a Software Development Engineer III (SDE 3) at Observe AI. In this role, we are looking for a talented and driven Sr. Software Engineer to build a scalable, secure, and multi-tenant cloud platform for processing millions of call recordings every day. You will use state-of-the-art cloud computing technologies. You will work closely with the leaders and the engineers to come up with a roadmap and develop solutions. What you’ll be doing Work with the team to define the technical stack and own it Work with the product team to understand the product roadmap and define the technical roadmap Participate in the entire application lifecycle, focusing on coding and debugging Integrate user-facing elements developed by front-end developers with server-side logic Build reusable code and libraries for future use Optimize the application for maximum speed and scalability Implement security and data protection Design and implement data storage solutions Build and scale data pipeline Collaborate with Front-end developers to integrate user-facing elements with server-side logic What you'll bring to the role Bachelor’s Degree in Computer Science with 6.5-9 years of experience in building large-scale products Expertise in Python Knowledge of container management tools (docker-swarm, Kubernetes) is a plus An ability to perform well in a fast-paced environment Good knowledge in at least one of the SQL or no-SQL databases: Postgres, MongoDB, Cassandra, Redis Good knowledge in queue (rabbitmq, Kafka, etc), cache(ehcache, Memcache) Strong knowledge of design patterns Perks and Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai. 

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Who We AreEma pioneers Agentic AI, developing autonomous, goal-driven AI agents that can plan, decide, and act across complex enterprise workflows without constant human oversight. We combine advanced LLMs with proprietary orchestration, retrieval, and reasoning layers, enabling AI agents to adapt to context, collaborate, and securely interact with enterprise systems.This is not another automation tool — this is AI that can see, design, and execute solutions before you even ask. If you want to work on technology that will define the next decade — solving problems no one has dared to touch, at a scale that matters — this is your shot.We’re looking for Fresh graduates from top Universities who want to push AI from theory into history-making reality.. We are founded by ex-Google, Coinbase, Okta executives, and serial entrepreneurs. We’re well-funded by the top investors and angels in the world.What is the AI resident/Data Resident program?A 6 month remote internship opportunity offering you a glimpse into the real world applications of machine learning and data engineering to build scalable solutions for enterprises.Our aim - creating an experience that allows final year college students to learn how fast growing startups work, gain practical skills, build real world experience, develop a greater understanding of the GenAI and data engineering industry and form valuable connections.Become a part of our extraordinary team of world-class software engineers and leading machine learning and data engineering practitioners.At the end of their stints, top performing residents will get an opportunity to meet the co- founders and the team in our Bangalore office and shall be awarded full time positions at Ema.We envision this program as a launchpad for future AI/Data leaders of our company.Who is eligible for this program?Our AI Resident & Data Resident programs are open for students in the final year of their undergraduate degree in Computer Science or related fields and graduating by June 2025/26. This is a remote opportunity which offers you the flexibility to work from your respective campuses/homes. You would be expected to work full time during the summer and 20-30hrs / week on average during the semester.AI ResidentResponsibilitiesResearch, design, implement, optimize and deploy deep learning models that advance the state of the art in perception and control for autonomous drivingA typical day to day includes reading deep learning papers, implementing described models and algorithms, adapting them to our setting and driving up internal metricsPlay a pivotal role in developing and maintaining sophisticated enterprise-level software applications, with a focus on back-end systems, API development, and the integration of language models and NLP technologiesTrain machine learning models at EmaDevelop state-of-the-art algorithms in one or all of the following areas: Prompt engineering for LLM models, Fine tuning models, Training open source models, large-scale distributed training,Comparing and benchmarking performance of different modelsOptimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded deviceData ResidentResponsibilitiesConduct analysis that includes data gathering, data transformation, data processing and analysisWork with large complex data sets, solve difficult non-routine analysis problems, and apply advanced analytical methodsBuild and prototype analysis pipelines iteratively to provide insights at scaleWhat makes you a good fit for the AI resident / Data Resident program?You must be currently enrolled in a full-time degree program in Computer Science or related field graduating by June 2026Top rankers in JEE Advanced and consistent high academic record (GPA) preferred.Strong interest in either:Machine Learning or Natural Language Processing (NLP), ideally in one or more of these areas: Generative AI, Natural Language Understanding (NLU), Natural Language Generation (NLG), Structured Prediction, Unsupervised Learning & Representation Learning.AND/ORSystems programming, data engineering, data processing frameworks, streaming databases and data visualization.You must be strong in coding skills and be ready to pick up any task and run with it.You should have an experience with SQL and other programming languages like Python, Cala, or RExperience with programming languages like Python and familiarity with frameworks like PyTorch, Tensorflow, Keras, etc.Experience with statistical methods (linear models, multivariate analysis, stochastic processes, sampling methods, etc.)What benefits do you get as an AI resident/ Data Resident?Monthly Stipend - Rs 65,000 per monthCoaching and mentorship from highly accomplished leaders.Connections to a powerful and sought-after network of world leaders for future endeavors.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll doLead the design and delivery of production-grade AI agents: You’ll manage and grow a team of engineers building highly performant, reliable, and intuitive AI agents that are central, mission-critical, and directly drive Sierra’s growth. These aren’t prototypes—they are powerful, scalable systems running in production environments across industries like finance, healthcare, and commerce. You’ll ensure technical excellence, operational reliability, and high customer impact.Own the Agent Development Life Cycle (ADLC): You’ll guide your team through the full lifecycle—from initial pilot through deployment and continuous iteration—coaching engineers to set and maintain the standard for ADLC best practices. You’ll ensure projects are delivered on time, meet customer needs, and scale effectively in production environments.Partner with large enterprises and cutting-edge startups: You’ll collaborate with leaders at some of the world’s largest enterprises to understand their most pressing business challenges, and guide your team in building AI agents that transform how they operate at scale. You’ll also work with innovative startups in Silicon Valley, embedding AI agents across their entire business stack to drive innovation and efficiency.Shape the future of the platform: Your team’s direct work with customers will guide the evolution of Sierra’s core platform. You’ll surface unmet needs, prioritize initiatives, and collaborate with research, product, and platform teams to shape the future of AI agent development and Sierra’s product.What you'll bringExperience leading engineering teams that build and scale end-to-end production systemsStrong technical problem-solving skills and the ability to guide teams through ambiguous, fast-changing environmentsA leadership style that blends high standards with empathy, fostering both speed and qualityProven ability to work closely with customers and translate business needs into technical deliverablesExcellent communication skills across technical and non-technical audiencesDegree in Computer Science or related field, or equivalent professional experience.Even better...AI-related experience (experience developing AI agents a plus).Experience building or deploying AI/LLM systems in productionBackground as a founder, engineering lead, or startup builder with high ownership and urgencyFamiliarity with tools for today’s AI agents: eval frameworks, agent tooling, RAG pipelines, and prompt engineeringPrior experience with React, TypeScript, and/or GoExperience interfacing with customers or leading technical projects with external stakeholdersOur valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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About usAt Sierra, we’re creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and Family. These values are the foundation of our work, and we are committed to upholding them in everything we do.Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What You’ll DoBring Enterprise-grade AI Agents to the World: We're on a mission to revolutionize the way consumers & businesses interact by empowering every business to build a world-class AI agent that fully represents its identity and brand. Your work will make this a reality.Solve for the Customer: We serve multiple stakeholders – People looking for help from our Agents, CX managers using our tools to monitor and improve the process, and Developers looking to build on and extend our platform. Each of these has a unique set of needs and product challenges.Innovate: AI Agents represent a new frontier. Discovering new tools and processes for building agents will be among the defining characteristics of the next generation of companies.Collaborate: Partner closely engineering, design, leadership, and the entire company to define and build a seamless and cohesive experience. Advise: Become trusted and strategic advisor to our customers, in partnership with our sales, go-to-market, and forward-deployed teams.End-to-End Ownership: Lead the product through all stages from concept to excellent execution, in close collaboration with cross-functional partners.What You’ll BringProven Experience: Extensive experience in product, engineering or related field, with background leading products from ideation to launch. Curiosity: Passion for deeply understanding user needs and finding the right solutions from first principles. Ability to operate in high ambiguity and build new, 0–1 bets.Excellent Collaboration: Product is a team sport, and building great products means working closely with engineering, design, customers, leadership, and more to help bring ideas to life.Excellent Communication: Strong verbal and written communication skills, with the ability to articulate complex problems, concepts and decisions to various stakeholders.Strong Values Alignment: Embodies our values and culture.Adaptability and Resilience: Comfort working in a fast-paced startup environment, able to adapt to changing priorities and handle ambiguity with grace. Even Better...Experience designing for AI-driven products or conversational interfaces.Experience working on enterprise and/or developer products, including SDKs, APIs, and technical tooling.Experience with Typescript, React, and other programming languages.Our valuesTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.What we offerWe want our benefits to reflect our values and offer the following to full-time employees:Flexible (Unlimited) Paid Time OffMedical, Dental, and Vision benefits for you and your familyLife Insurance and Disability BenefitsRetirement Plan (e.g., 401K, pension) with Sierra matchParental LeaveFertility and family building benefits through CarrotLunch, as well as delicious snacks and coffee to keep you energized Discretionary Benefit Stipend giving people the ability to spend where it matters mostFree alphorn lessonsThese benefits are further detailed in Sierra's policies and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.Be you, with usWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

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Building the Future of Decentralized AI DevelopmentAt Prime Intellect, we're enabling the next generation of AI breakthroughs by helping our customers deploy and optimize massive GPU clusters. As our Solutions Architect for GPU Infrastructure, you'll be the technical expert who transforms customer requirements into production-ready systems capable of training the world's most advanced AI models.We recently raised $15mm in funding (total of $20mm raised) led by Founders Fund, with participation from Menlo Ventures and prominent angels including Andrej Karpathy (Eureka AI, Tesla, OpenAI), Tri Dao (Chief Scientific Officer of Together AI), Dylan Patel (SemiAnalysis), Clem Delangue (Huggingface), Emad Mostaque (Stability AI) and many others.Core Technical ResponsibilitiesThis customer-facing role combines deep technical expertise with hands-on implementation. You'll be instrumental in:Customer Architecture & DesignPartner with clients to understand workload requirements and design optimal GPU cluster architecturesCreate technical proposals and capacity planning for clusters ranging from 100 to 10,000+ GPUsDevelop deployment strategies for LLM training, inference, and HPC workloadsPresent architectural recommendations to technical and executive stakeholdersInfrastructure Deployment & OptimizationDeploy and configure orchestration systems including SLURM and Kubernetes for distributed workloadsImplement high-performance networking with InfiniBand, RoCE, and NVLink interconnectsOptimize GPU utilization, memory management, and inter-node communicationConfigure parallel filesystems (Lustre, BeeGFS, GPFS) for optimal I/O performanceTune system performance from kernel parameters to CUDA configurationsProduction Operations & SupportServe as primary technical escalation point for customer infrastructure issuesDiagnose and resolve complex problems across the full stack - hardware, drivers, networking, and softwareImplement monitoring, alerting, and automated remediation systemsProvide 24/7 on-call support for critical customer deploymentsCreate runbooks and documentation for customer operations teamsTechnical RequirementsRequired Experience3+ years hands-on experience with GPU clusters and HPC environmentsDeep expertise with SLURM and Kubernetes in production GPU settingsProven experience with InfiniBand configuration and troubleshootingStrong understanding of NVIDIA GPU architecture, CUDA ecosystem, and driver stackExperience with infrastructure automation tools (Ansible, Terraform)Proficiency in Python, Bash, and systems programmingTrack record of customer-facing technical leadershipInfrastructure SkillsNVIDIA driver installation and troubleshooting (CUDA, Fabric Manager, DCGM)Container runtime configuration for GPUs (Docker, Containerd, Enroot)Linux kernel tuning and performance optimizationNetwork topology design for AI workloadsPower and cooling requirements for high-density GPU deploymentsNice to HaveExperience with 1000+ GPU deploymentsNVIDIA DGX, HGX, or SuperPOD certificationDistributed training frameworks (PyTorch FSDP, DeepSpeed, Megatron-LM)ML framework optimization and profilingExperience with AMD MI300 or Intel Gaudi acceleratorsContributions to open-source HPC/AI infrastructure projectsGrowth OpportunityYou'll work directly with customers pushing the boundaries of AI, from startups training foundation models to enterprises deploying massive inference infrastructure. You'll collaborate with our world-class engineering team while having direct impact on systems powering the next generation of AI breakthroughs.We value expertise and customer obsession - if you're passionate about building reliable, high-performance GPU infrastructure and have a track record of successful large-scale deployments, we want to talk to you.Apply now and join us in our mission to democratize access to planetary scale computing.

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Want to use your engineering skills to make an impact? AI is the new electricity. Founded by AI visionary Andrew Ng, DeepLearning.AI is on a mission to empower everyone to build with AI. AI builders are needed across the world to transform industries with AI,  and we’re creating the products to enable them.  We’re looking for our next FullStack Engineer who brings together a foundation in development and a passion for building. As a FullStack Engineer Engineer, you will be responsible for building and delivering scalable, secure, and enterprise-grade learning experiences. We’re looking for a self-starter, who not only writes great code, but also brings together ideas and design sensibility, and can translate them into new features and intuitive user interfaces. You should have a deep understanding of user-centered design principles and enterprise product needs, including performance, compliance, and interoperability. You’ll be highly GenAI-enabled, leveraging AI-powered coding and design tools to accelerate development and deliver innovation at scale. In this role, you will help us rapidly prototype, iterate, and ship features that meet the demands of organizations and drive measurable business impact. You’ll be involved in the early stages of product development, working closely with the Product team to help identify, scope, and develop new features to improve the user experience and deepen the value of our products.  Here’s what you’ll do:Implement LMS integrations to extend platform interoperability.Build data reporting and dashboards to track learner and program performance.Develop user management and admin features for organizations and learners.Ensure privacy, accessibility, and information security compliance across all features.Design B2B platform features, such as co-branded landing pages, organizational leaderboards and social features, localization, custom programs, and curated catalogs.Maintain and evolve the marketing website to support growth and awareness.Act as a dedicated resource for timely bug fixes and platform reliability.Build self-serve signup and onboarding flows for smaller teams and organizations. Here are the skills you should have:Broad and solid CS foundation knowledge, including data structures & algorithms, operating systems, computer networks, and databases.At least 3+ years of software development experience, with proven end-to-end project delivery.Strong ability to convert ideas into running code efficiently.Frontend: Familiarity with technologies such as React.js, Next.js, Typescript, tRPC, and Tailwind.Backend: Familiarity  with the Python ecosystem (Linux, SQL, Django, FastAPI), APIs (REST, GraphQL).Proficiency with Docker and microservice architecture design.Familiarity with Test-Driven Development (TDD). Strong understanding of security concerns and best practices.A bachelor’s degree in CS or related technical field.Excellent communicator and team player with strong English language skills if not a native speaker yourself.Technical familiarity with machine learning, particularly using LLM APIs and frameworks beyond basic prompting - including tool calling, agentic workflows, RAG, and popular ML frameworks.High fluency/familiarity with tools such as Claude Code, Cursor, Windsurf or Cline.A keen interest in the Artificial Intelligence domain. Bonus if you have:Deep technical expertise in specific LLM applications such as finetuning, complex agentic systems, or production RAG implementations.Familiarity with Next.js App Router and deployment on Vercel.Experience with headless CMS architectures, API integrations, and performance optimization.Experience with Python ecosystem tooling beyond web frameworks (data, ML integrations, etc.).

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Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from some of the world’s most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every month–a number that’s growing rapidly for one simple reason: everyone can be curious. San Francisco, CA Perplexity is building the next generation answer engine that helps millions of people find information more effectively. We're looking for an AI Interaction Designer to craft conversations that are clear, helpful, and genuinely useful. What You'll Do You'll design how our AI communicates with users, transforming complex queries into clear, actionable responses. This is conversation design at scale—creating the communication patterns that millions of people rely on every day. This role involves: Building evaluation systems that maintain quality as we scale Creating feedback loops between user needs and AI improvements Collaborating with researchers, product teams, and engineers across the company What We're Looking For Exceptional Taste You have an intuitive sense of what makes communication work. You can spot the difference between a good response and a great one, and you know how to make it better. Technical Fluency You don't need to be a researcher, but you can hold your own with our technical teams. You're comfortable with Python, understand how language models work, and can implement your ideas through code. You naturally think about how individual improvements can scale across thousands or millions of interactions. You've built processes that work at scale before. Curiosity and Drive You're someone who elevates everyone around them. You have high standards but bring people along rather than leaving them behind. You're fascinated by how people naturally communicate and how technology can serve them better. Qualifications: Demonstrated passion for AI and can share specific prompt engineering and chaining projects you're proud of Background in data science, philosophy, psychology, linguistics, data science, or related fields Familiar with Python and running simple scripts High-level understanding of LLMs, training, RL Excellent communication skills, particularly in teaching complex concepts Creative problem-solving abilities with a "hacker spirit" for solving puzzles   Equity: In addition to the base salary, equity may be part of the total compensation package. Benefits: Comprehensive health, dental, and vision insurance for you and your dependents. Includes a 401(k) plan.

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ABOUT BASETENBaseten provides the infrastructure, tooling, and expertise needed to bring great AI products to market - fast. Backed by top investors including IVP, Spark Capital, Greylock, and Conviction, we’re trusted by leading AI-driven innovators like Writer, Abridge, Bland, Patreon, Descript, Retool, and Zed to deliver industry-leading performance, security, and reliability for their mission-critical workloads. With our recent $75M Series C funding, we’re growing fast to make AI accessible across all products.THE ROLEAs a Senior Software Engineer – Model Training at Baseten, you’ll be at the forefront of building the infrastructure that powers large-scale training and fine-tuning of foundation models. You’ll design and implement distributed training systems, optimize GPU utilization, and create scalable pipelines that enable Baseten and our customers to adapt models efficiently and reliably. This role is highly technical and hands-on: you’ll own key components of our training stack, collaborate with product and infra teams to surface customer needs, and push forward the state of the art in scalable training infrastructure.RESPONSIBILITIESDesign, build, and maintain distributed training infrastructure for large-scale foundation modelsImplement scalable pipelines for fine-tuning and training across heterogeneous GPU/accelerator clustersOptimize training performance through techniques like FSDP, DDP, ZeRO, and mixed precision trainingContribute to frameworks and tooling that make training workflows efficient, reproducible, and developer-friendlyCollaborate with cross-functional teams (Product, Forward Deployed Engineering, Inference Infra) to ensure training systems meet real-world requirementsResearch and apply emerging techniques in training efficiency and model adaptation, and productionize them in the Baseten platformParticipate in code reviews, system design discussions, and technical deep dives to maintain a high engineering barREQUIREMENTSBachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience4+ years of experience in software engineering with a focus on ML infrastructure, distributed systems, or ML platform engineeringHands-on expertise in distributed training frameworks (FSDP, DDP, ZeRO, or similar) and ML frameworks (PyTorch, Transformers, Lightning, TRL)Strong understanding of GPU/accelerator performance optimization and scaling techniquesExperience designing and operating large-scale systems in production (cloud-native preferred)Excellent problem-solving and communication skills, with the ability to work across infrastructure and ML boundariesNICE TO HAVEExperience building APIs, SDKs, or developer tools for ML workflowsFamiliarity with cluster management and scheduling (Kubernetes, Ray, Slurm, etc.)Knowledge of parameter-efficient fine-tuning methods (LoRA, QLoRA) and evaluation pipelinesContributions to open-source distributed training or ML infra projectsExperience with cloud environments (AWS, GCP, Azure) and container orchestrationBENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs a Senior Product Marketer at Abridge, you’ll lead go-to-market campaigns and equip our commercial teams to convert pipeline and expand accounts. You’ll craft clear messaging and positioning for new features—specifically showcasing how we’re extending the value of ambiently captured clinical conversations into revenue cycle management.What You’ll DoMessaging and StorytellingDevelop messaging and audience insights that drive awareness, activation, and adoption of Abridge’s core productsCreate market-making moments and bring together Growth, Sales, and Partner Success to run campaigns that build consideration and differentiationCraft compelling product narratives, differentiated positioning, and resonant messagesBuild personas for key segments and buyer roles within RCMLaunch Campaigns and Commercial EnablementLead product launches and marketing moments to generate pipeline and grow adoptionProduce assets across formats: sales enablement, lifecycle campaigns, blog posts, event keynotes, and moreBuild a marketing roadmap with Product for current and future RCM features, announcing updates at the right cadence for each audienceManage the monthly release cycle for upcoming RCM features with the product marketing teamWhat You’ll Bring7–10+ years of professional experience (or equivalent)At least 6 years in product marketing at a health tech company serving B2B audiencesBonus Points If…Experience marketing enterprise healthcare software to revenue cycle leaders (e.g., ICD-10/HCC code capture, prior authorization, risk adjustment)Experience marketing AI productsA track record of crisp positioning and messagingAbility to distill complex concepts into clear, relatable writingSkill in communicating strategy, driving deliverables, and motivating cross-functional teamsProven success in fast-paced environments, with strong prioritization and project management across tight deadlinesWe are in-person at least 3 days a week. To be considered, candidates must be within commutable distance of or open to relocation to either our San Francisco or New York City locations.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.