Top AI Engineer Jobs Openings in 2025

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Code generation and code review Prompt evaluation and complex data annotation Training and evaluation of large language models Benchmarking and agent-based code execution in sandboxed environments Working across multiple programming languages Adapting guidelines for new domains and use cases Following project-specific rubrics and requirements Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects that match your technical skills, on your own schedule. From coding and automation to fine-tuning AI outputs, you’ll play a key role in advancing AI capabilities and real-world applications.RequirementsYou hold a Bachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Mobile App Development, Cloud Computing, Data Science, Big Data or other related fields.You have at least 3 years of professional experience in Java 17+, including streams API and concurrent programming.Your level of English is advanced (C1) or above.Hands-on experience with JUnit 5, TestNG, Mockito, and TestContainers.Proficiency with build tools (Maven, Gradle), IDEs (IntelliJ IDEA), and CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI).Experience with the Spring ecosystem (Spring Boot, Spring Data, Spring Security), JPA/Hibernate.Strong understanding of JVM internals, garbage collection, performance optimization, and design patterns.Experience with messaging systems (Kafka, RabbitMQ) and microservices architectures.Practical use of AI-assisted tools for refactoring, performance analysis, and test generation.Familiarity with cloud platforms (AWS, Azure), containers, and Kubernetes.Strong skills in JVM profiling (JProfiler, VisualVM) and debugging.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines.Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $45/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

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About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$230,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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The AI orchestration of your wildest imagination.n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.Since our founding in 2019, we’ve grown into a diverse team of over 160 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:Cultivated a community of more than 650,000 active developers and buildersEarned 145k+ GitHub stars, making us one of the world’s Top 40 most popular projectsBeen ranked as one of Europe’s most promising privately held SaaS startups (4th in Sifted’s 2025 B2B SaaS Rising 100)Raised $240m to date, from Sequoia’s first German seed to our recent $180m Series C - bringing us to a $2.5bn valuationAnd are grateful for our 94 eNPS score (most companies would call 70 excellent) That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register.We’re in a defining moment of an incredible journey. Come and build with us.As a Senior AI Engineer, you'll drive intelligent features that redefine how users build automations. You'll build AI-powered capabilities, from natural language input to smart suggestions, that make creating workflows faster and more intuitive.You'll collaborate across engineering, product, and design to bring generative AI and LLM-based enhancements into the core user experience. You'll improve existing AI integrations, develop new ones, and shape how AI powers our product. You’ll work across the entire AI feature lifecycle:Architect and implement AI-powered capabilities: code generation, intelligent node creation, and workflow optimizationIntegrate LLM APIs and embedding models for text-to-workflow and natural language code suggestionsDesign and iterate on prompts to improve model output and user experienceBuild internal tooling, evaluation benchmarks, and automated testing for AI componentsCollaborate closely with other engineers to ensure AI features are reliable, performant, and scalableBalance experimentation with impact: ship quickly while focusing on user valueStay current with advances in LLMs, prompt frameworks, and developer tools - and bring those insights into our roadmapRequirements5+ years of experience building web-based products, ideally in B2B SaaS startupsStrong fullstack development skills with TypeScript, Node.js, and API designExperience shipping AI-powered features in production with LLM APIs (OpenAI, Anthropic, etc.) and understanding of how to translate machine intelligence into user value. We're looking for experience building end-to-end systems.Understanding of AI fundamentals: agent architectures, chat completion roles, embedding vectors, vector databases, and chunking strategiesHands-on experience with prompt engineering, embedding models, and vector storesA user-focused mindset: you care about delivering features that solve real problemsA bias for shipping and learning - fast iteration is second nature to youBonus Points ForExperience fine-tuning LLMs or working with retrieval-augmented generation (RAG) systemsFrontend experience using Vue or ReactTechnical writing or documentation contributions, especially around developer tools or AIExperience with agent orchestration patterns and state management in multi-step AI systemsKnowledge of code quality evaluation metrics and context optimization techniquesn8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.We can sponsor visas to Germany; for any other country, you need to have existing right to work.Our company language is English.You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future. Benefits Competitive compensation 💸 – We offer fair and attractive pay.Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.Work/life balance 🏖️ – We work hard but ensure you have time to recharge:Europe: 30 days of vacation, plus public holidays wherever you are.US: 15 vacation days, 8 sick days, plus public holidays wherever you are.Health & wellness 🩺 –Europe: We provide benefits according to local country norms.*US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.Future planning 💰 –Europe: We provide pension contributions according to local country norms.*US: 401(k) retirement plan with a 4% employer match.Financial security 🛡️ –Europe: We provide benefits according to local country norms.*US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity.Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.An ambitious but kind culture 😍 – People love working here—our eNPS for 2024 is 94!* Country-specific details are provided in your contract.

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Title: AI Engineer Location: (Remote – Mexico or Canada) Salary: $120K to $150K About Our Client Our client is a neuroscience-based technology company dedicated to transforming health behavior change through a simple, positive, and evidence-based approach. Their platform leverages the science of habit formation—focusing on mindset, practice, and iteration—to help users build healthy habits without the pressure or fear of failure. By removing guesswork and emphasizing continuous improvement, the company empowers individuals to become unstoppable in their pursuit of better health. In their philosophy, there is no “failure”—only practice and iteration. About the RoleOur client is seeking a motivated and skilled AI Engineer to join their team. In this role, you will design, build, and maintain intelligent, scalable AI systems that directly enhance product functionality and user experience. You will collaborate closely with product managers, engineers, and data scientists to take AI-driven features from concept to production. Key ResponsibilitiesDesign & Development: Build, train, and validate machine learning models (classification, forecasting, recommendation systems) using real-world datasets.End-to-End MLOps: Develop and maintain MLOps pipelines, integrating CI/CD, model monitoring, model versioning, and scalability best practices.Prototyping & Deployment: Rapidly prototype AI features and deploy production-ready solutions.Performance Optimization: Conduct hyperparameter tuning and optimize models for accuracy, latency, throughput, and resource efficiency.Cross-Functional Collaboration: Work with product and engineering teams to translate business needs into practical, high-impact AI solutions. Document methodologies and communicate results clearly.Ethics, Compliance & Monitoring: Ensure fairness, interpretability, and regulatory compliance. Implement monitoring to detect model drift, bias, and performance degradation.Required Qualifications Education:Bachelor’s degree in Computer Science, AI, Data Science, or related field (Master’s preferred).Experience:2–4 years in machine learning, AI, or similar engineering roles, with hands-on experience deploying models into production.Prior experience in startups or 0-to-1 product environments.Technical Skills:Knowledge of NLP, generative AI, and LLMs (e.g., LangChain).Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn, Spark, etc.Strong data engineering skills: ETL pipelines, SQL/NoSQL, data preprocessing.Soft Skills:Strong analytical and communication abilities, teamwork, adaptability, and attention to detail.Nice to HaveIndustry certifications (e.g., Azure AI Engineer, Google ML Engineer).Experience in healthcare or wellness domains.Experience working with personalization models/engines.Background in small teams or early-stage organizations.

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Vatic is looking for an AI engineer with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another. The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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Vatic is looking for an AI engineer with proven experience with large foundational models.  Our environment is highly collaborative, fostering innovation and growth. We are interested in a variety of data modalities (language, vision, multimodal, and structured data) and modern model architectures. We are looking for team players who are interested in developing next-generation platforms and tools for Machine Learning as well as conducting state-of-the-art research.  As an AI Engineer you will: Play a crucial role in designing and developing cutting-edge frameworks that can serve as the future tools to help develop innovative platforms and systems that drive our trading and research efforts, with a different lens through foundational models.  Work closely with a team of passionate researchers and engineers to make sure such frameworks are compatible with recent cloud platforms, popular ML frameworks and libraries, as well as modern model architectures. play a central role in defining and running large-scale experiments that contribute towards rigorous evaluation and in-depth model analysis. We employ a team of talented engineers who have been recognized as leaders in our field. We are passionate about hiring the best and brightest, empowering them with the tools and freedom they need to be successful.   If you possess the following, we would love to explore what is available for you with our team: Keen interest in training, evaluation, understanding, and innovation of foundational models Advanced proficiency with Python development in a Linux environment Strong understanding of machine learning, deep learning, and generative AI methods and technologies Direct experience with multi-GPU model training Demonstrable success building high performance software Performance tuning/optimization of software and algorithms Familiarity with parallel computing models and frameworks Strong analytical and problem-solving skills A passion for trading, research, and technology Excitement and interest in using readily available open source technologies and prototypes Excellent communication skills Confident team player motivated by a fast-paced environment At Vatic, we’re serious about our work—but we also believe in balance, growth, and having fun along the way. Here’s what you can expect: Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one. Comprehensive health benefits – Full health insurance coverage for employees and dependents. Daily meals provided – Enjoy free breakfast, lunch, and dinner at the office. Gym membership – Stay healthy with a gym reimbursement, in addition to our onsite gym.  Unlimited office snacks – Fuel your day with your favorite snacks, always stocked. Fun team outings – Build camaraderie and unwind with regular events. Organized poker, ping pong, and game nights – We’re a competitive group that enjoys getting together to challenge one another. The base salary range for this role is between $175,000 and $275,000. The base salary range does not include any other form of compensation, such as any bonus amounts, or any benefits.  Factors that may impact the agreed upon base salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other factors.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAbout the Role: The Director, Forward Deployed Engineering & AI GTM Lead owns the technical execution, go-to-market effectiveness, and organizational adoption of Aircall’s AI Communication Agent. This role leads and scales the Forward Deployed Engineering (FDE) team while remaining closely engaged in customer-facing work to ensure consistency, quality, and impact across all deployments. Operating at the intersection of Applied AI, technical delivery, and go-to-market execution, this leader works across Sales, Account Management, Product, Engineering, Marketing, and Support to ensure AVA is successfully positioned, implemented, and scaled. The role plays a critical part in shaping how Aircall brings AI to market - translating field execution into repeatable models, and customer learnings into product and GTM evolution.Key Responsibilities:Lead, coach, and grow the Forward Deployed Engineering team from 3 FDEs today to 7–8 by H1 ‘26, setting clear standards for technical excellence, execution rigor, and customer impact.Stay closely involved in active customer engagements and strategic initiatives, providing technical guidance, solution direction, and senior-level support where needed.Drive strong AI Agents go-to-market execution by embedding disciplined operating practices across the team, including pipeline hygiene, forecasting accuracy, and effective collaboration with Sales, AM, SE, Partners, and CEs.Pilot the team using data-backed operating models, defining and tracking clear input and output KPIs to assess performance, drive accountability, and accelerate AI Agent adoption (e.g., activity metrics, time-to-value, deployment quality, usage and revenue impact).Maintain deep technical credibility by staying close to the product and real-world use cases — comfortable coding in at least one language and highly fluent with APIs, integrations, and modern system architectures.Guide the design and delivery of scalable AI Agent deployments, including integrations with CRMs, help desks, and System-of-Truth platforms.Build and evolve playbooks, reference architectures, and deployment frameworks that enable repeatable, high-quality execution as the team scales.Lead cross-functional programs focused on AI Agents success, coordinating efforts across Product, Engineering, Marketing, Support, and GTM teams.Represent field execution and customer needs in close partnership with Product and Engineering, influencing roadmap priorities and delivery decisions.Drive internal enablement and upskilling across GTM teams, ensuring Aircall Voice Agent is clearly understood, well-positioned, and effectively adopted. Qualifications:7+ years of experience in technical sales, solutions engineering, forward-deployed engineering, or professional services roles, with prior people-management experience strongly preferred.Strong entrepreneurial mindset, as this is a startup within a startup (even better if former founder)Strong technical foundation, including hands-on experience with APIs, integrations, and data-driven systems; ability to code in at least one language (e.g., Python or JavaScript).Demonstrated ability to lead execution in complex, cross-functional environments while staying close to the field.Experience working within overlay or specialist GTM models, with strong understanding of sales cycles, forecasting, and execution best practices.Proven ability to build scalable playbooks and operating models that move teams beyond ad hoc delivery.Excellent communication and stakeholder management skills, translating between technical and business audiences.Strong interest in AI and applied automation; prior experience in AI, conversational AI, or adjacent domains is a significant plus.Experience with CRMs, help desks, and System-of-Truth architectures is highly desirable. What Success Looks LikeAgents are consistently deployed with high quality and clear business impact across customers.The FDE team scales effectively with shared standards, reusable frameworks, and predictable execution.Go-to-market execution for Agents is disciplined, data-driven, and improving quarter over quarter.Cross-functional teams operate with strong alignment around AI Agents' priorities, launches, and roadmap decisions.Field learnings continuously inform product evolution and GTM strategy, strengthening Aircall’s leadership in applied AI. 160,000 - 200,000 a yearThis base range is not including an annual bonus (60/40 split), equity, and other benefits. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, and experience. Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, commuter, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace. Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service. We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets. At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real. How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right inAs an AI Engineer for the Integrations team, you will be responsible to design, develop, and optimize scalable, high-performance cloud-based solutions. In this role, you will work across the entire software development lifecycle, contributing to architecture, coding, testing, and deployment while ensuring high-quality and reliable deliverables. You’ll collaborate closely with cross-functional teams to translate requirements into technical solutions. This position offers the chance to solve challenging technical problems, mentor junior engineers, and make a meaningful impact on the design, development, deployment, and operation of world-class software and features that add customer value.Key ResponsibilitiesOwn key responsibilities in the design, architecture, and end-to-end delivery of AI-driven modules.Propose innovative solutions by staying ahead of AI landscape trends and emerging technologies.Participate in requirements analysis to help with providing the right technical and business solutions for our customers.Have key responsibilities within the design, architecture, and end-to-end delivery of your development.Write clean scalable code and test and deploy applications and systems.Revise, update, refactor, and debug code.Participate in code reviews to ensure code quality and share knowledge.Be part of an engineering organization delivering high quality, secure, voice solutions to Aircall clients.Involvement in product and platform performance optimization and live site monitoring.Participate in an on-call rotation to respond to critical system issues and ensure continuous system reliability.Security is at the forefront of your mind in everything that you do.QualificationsAI experience is a must for this position: Strong knowledge of LLMs and hands-on experience building with them - including usage, prompting and model integration.Proven understanding and direct experience with Agentic AI systems, including designing, developing, and deploying AI Agents and MCP prototype/servers.Familiarity with AI frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern AI architectures such as RAG, vector databases, reranking, and performance optimization.At least 1 year of experience in back-end development using Python, TypeScript/Node.js, or Java, with a focus on security, scalability, availability, and performance.Full-stack development experience is a strong plus.Nice to have: Ideally you will have worked with AWS in a production environment and understand how to design for, deploy on and get the best out of, the environment and services provided by Amazon. 140,000 - 220,000 a yearThis is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.Why join us? 🚀 Key moment to join Aircall in terms of growth and opportunities💆‍♀️ Our people matter, work-life balance is important at Aircall📚 Fast-learning environment, entrepreneurial and strong team spirit🌍 45+ Nationalities: cosmopolite & multi-cultural mindset💵 Competitive salary package & equity🏨 Medical, dental, and vision insurance is 100% covered📈 401k plan with company matching!✈️ Unlimited PTO — take the time you need to come to work feeling great!⭐️ Wellness, internet, and childcare reimbursements💚 Generous parental leave policy DE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.  We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.   We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn. Want to know more about candidate privacy? Find our Candidate Privacy Notice here.

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Zoox’s internship program provides hands-on experiences with state of the art technology, mentorship from some of the industry's brightest minds, and the opportunity to play a part in our success. Internships at Zoox are reserved for those who demonstrate outstanding academic performance, activities outside their course work, aptitude, curiosity, and a passion for Zoox's mission. On the Developer Experience team,, you will build AI Agents and AI Workflows that enhance how developers and customers experience Zoox. You will apply LLMs to solve real problems that slow teams down or limit product quality. Your work will focus on reducing the time it takes developers to ship features, accelerating the triage of real-world incidents, improving the quality and consistency of multimodal datasets, and designing AI Agents that automate common engineering workflows end to end. If you enjoy solving user problems with LLMs, care about product impact, and like owning projects from idea to launch, you’ll fit right in.Requirements:Currently working towards a B.S., M.S., or advanced degree in a relevant engineering programMust be returning to school to continue your education upon completing this internshipGood academic standingAble to commit to a 12-week internship beginning in May or June of 2026.At least one previous industry internship, co-op, or project completed in a relevant areaAbility to relocate to the Bay Area, California for the duration of the internshipInterns at Zoox may not use any proprietary information they are working on as part of their thesis, any published work with their university, or to be distributed to anyone outside of ZooxQualifications:Proficiency in Python or C++Coursework or project experience in software development, demonstrating understanding of data structures and algorithmsFamiliarity with LLMs through coursework, personal projects, or hackathons Bonus Qualifications:Experience with prompt engineering or LLM APIs (OpenAI, Anthropic, AWS Bedrock)Contributions to open-source projectsExperience with vector databases or embedding modelsFamiliarity with developer tools (IDEs, debuggers, build systems) Compensation:The monthly salary range for this position is $5,500 to $9,500. Compensation will vary based on geographic location and level of education. Additional benefits may include medical insurance, and a housing stipend (relocation assistance will be offered based on eligibility). About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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About BasisBasis equips accountants with a team of AI agents to take on real workflows.We have hit product-market fit, have more demand than we can meet, and just raised $34m to scale at a speed that meets this moment.Built in New York City. Read more about Basis here.About the TeamAtlas is Basis’s internal agent team with a single mandate: make every employee 100× more productive.We’re building the internal agents, automations, and knowledge systems that make Basis the first truly agent-native company. Atlas connects people, context, and tools—operationalizing knowledge so that Basis runs faster, learns faster, and scales intelligently.Our work spans Retool apps, Chrome extensions, internal APIs, MCP integrations, and developer tooling that empower every team. We design for leverage: when Atlas ships something, the entire company gets faster.About the RoleAs an Atlas Engineer at Basis, you’ll own internal systems and agents end-to-end—from scoping to deployment. You’ll act as the Responsible Party (RP) for your projects: identifying opportunities, designing automations, building the systems, and measuring their impact.You’ll sit close to the work—talking with engineers, accounting teams, and operators to find bottlenecks—and you’ll fix them fast. Sometimes that means writing code; other times it means wiring up low-code tools or shaping agent behavior through prompts and evals.You won’t be managed—you’ll be trusted to find the highest-leverage problems and solve them with speed, clarity, and craft.What you’ll be doing:Build the systems that make Basis agent-nativeDesign and ship internal agents for coding, ops, and knowledge management.Define and maintain context architectures (docs, repos, APIs) that agents can reason about.Extend and evaluate agents—prompts, tools, and safety layers—to make them effective across workflows.Create fast feedback loops: instrument impact, analyze trajectories, and iterate on behavior.Automate high-leverage workflowsIdentify manual processes and turn them into reliable automations.Build and extend internal tools with Retool, custom scripts, or APIs. Integrate SaaS systems and internal data sources into unified workflows. Decide pragmatically when to code vs. configure—optimize for velocity and maintainability.Build connective tissue across teamsPartner with engineering, operations, and accounting to understand how work actually happens.Map out bottlenecks and design systems that remove them permanently.Build lightweight internal products—CLI tools, Slack bots, Chrome extensions—that give teammates superpowers.Document what you build so others can extend it easily.Operate as an RP — plan, build, iterateScope and plan your own projects with clarity; own timelines and decisions.Ship fast, instrument impact, and measure improvement.Run your own postmortems and refine processes as you go.Share learnings and frameworks that others can reuse across Basis.📍 Location: NYC, Flatiron office. In-person team.What Success looks like in this roleOwner: You identify, scope, and deliver automation projects independently.Integrator: Internal systems, data, and agents connect seamlessly through your work.Force multiplier: Each thing you build compounds leverage across the company.Simplifier: You replace friction with flow—making the complex legible and the slow fast.Builder: You operate with conviction, clarity, and care—improving Basis every week.

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About FLORAWe build creative tools for the new creative class—an intelligent canvas where the best AI models enable professional craft. We're a team of ~20, backed by exceptional investors like Hanabi Capital, Menlo Ventures, Justin Kan, and Gabe Whaley (founder of MSCHF). Our customers span a variety of creative industries and include Pentagram, Lionsgate, and Nike.We’re looking to bring on an Applied AI Engineer who will architect and build the agentic systems powering FLORA.As part of the founding team, you will work closely with the founders to invent how creative professionals interact with AI in a generative age. This is a first-principles role: you’ll design, implement, and scale the backbone of agentic workflows that let creatives orchestrate text, image, and video models seamlessly on FLORA’s infinite canvas.What You’ll Do As an Applied AI Engineer, you’ll design and build the intelligence layer of FLORA — systems that make multi-modal creative workflows powerful, reliable, and intuitive. You’ll work on problems at the intersection of AI, orchestration, and interaction design: bringing together text, image, and video models into seamless workflows that creatives can actually trust and enjoy using.You’ll collaborate across product, infra, and design to build agentic features that let creatives speak their idea into existence while maintaining control.RequirementsHands-on experience building agentic systems — e.g. multi-step pipelines, tool-using agents, assistants with memory, or similar.Familiarity with evaluation frameworks (automated checks, regression testing, human-in-the-loop scoring) to ensure system reliability.Experience with memory and retrieval (vector DBs, embeddings, summarization, context management).Strong background in orchestration across models, APIs, and tools — including handling retries, fallbacks, and edge cases.Comfortable reasoning about multi-modal workflows (text, image, video) and their integration in a user-facing product.Ability to work across the stack (frontend, backend, infra) and collaborate closely with product and design.Product-minded — you care as much about usability and creative control as you do about technical novelty.3+ years of engineering experienceBonus: experience with creative tools, generative models, or node-based interfaces.Working at FLORAOffice policyWe work in-person at the Domino Refinery building in Williamsburg, Brooklyn—with views of the East River.Compensation and benefitsCompetitive salary and meaningful equity. We also offer an Equinox membership and comprehensive health and dental coverage.

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About HappyRobotHappyRobot is the AI-native operating system for the real economy—a system that closes the circuit between intelligence and action. By combining real-time truth, specialized AI workers, and an orchestrating intelligence, we help enterprises run complex, mission-critical operations with true autonomy.Our AI OS compounds knowledge, optimizes at every level, and evolves over time. We’re starting with supply chain and industrial-scale operations, where resilience, speed, and continuous improvement matter most—freeing humans to focus on strategy, creativity, and other high-value tasks. You can learn more about our vision in our Manifesto. HappyRobot has raised $62M to date, including our most recent $44M Series B in September 2025. Our investors include Y Combinator (YC), Andreessen Horowitz (a16z), and Base10—partners who believe in our mission to redefine how enterprises operate. We’re channeling this investment into building a world-class team: people with relentless drive, sharp problem-solving skills, and the passion to push limits in a fast-paced, high-intensity environment. If this resonates, you belong at HappyRobot.Role OverviewWe are looking for a versatile and highly skilled Forward Deployed Engineer to join our team. In this role, you will combine strong technical abilities with excellent communication skills, working directly with customers to ensure they maximize the value of HappyRobot’s AI platform. You will be involved in onboarding, implementation, and ongoing support, while also contributing to product development and innovation.What You’ll DoCustomer-Facing Engineering – Work closely with customers from onboarding to ongoing usage, helping them integrate and optimize our AI solutions.Technical Development – Build new features, MVPs, and scalable solutions that directly impact customer outcomes.Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools.AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases.Integration & APIs – Manage APIs and integrations with third-party systems to ensure seamless functionality for customers.Cross-Functional Collaboration – Partner with Product, Engineering, and Customer Success teams to deliver tailored solutions.Iterative Problem-Solving – Continuously iterate and improve AI solutions based on customer feedback and evolving requirements.Project Management – Prioritize and manage multiple projects under tight deadlines while maintaining high-quality results.Must HaveStrong full-stack experience: React, TypeScript, Node.js.Hands-on proficiency in Python.Experience building AI/ML applications, including LLM prompting and tuning.Ability to manage APIs and integrate with third-party systems.Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders.Proven ability to prioritize and manage multiple projects under tight deadlines.Founder mindset: highly independent, takes ownership, and thrives in a fast-paced environment.Why join us?Opportunity to work at a high-growth AI startup, backed by top investors.Rapidly growing and backed by top investors including a16z, Y Combinator, and Base10.Ownership & Autonomy - Take full ownership of projects and ship fast.Top-Tier Compensation - Competitive salary + equity in a high-growth startup.Work With the Best - Join a world-class team of engineers and buildersOur Operating Principles Extreme Ownership We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us. Craftsmanship Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching. We are “majos” Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego. Urgency with Focus Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy. Talent Density and Meritocracy Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win. First-Principles Thinking Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.For more information, visit https://www.happyrobot.ai/privacy-policyBy submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About the role We’re hiring an AI Architect to sit at the intersection of frontier AI research, product, and go-to-market. You’ll partner closely with ML teams in high-stakes meetings, scope and pitch solutions to top AI labs, and translate research needs (post-training, evals, alignment) into clear product roadmaps and measurable outcomes. You’ll drive end-to-end delivery—partnering with AI research teams and core customers to scope, pilot, and iterate on frontier model improvements—while coordinating with engineering, ops, and finance to translate cutting-edge research into deployable, high-impact solutions. What you’ll do Translate research → product: work with client side researchers on post-training, evals, safety/alignment and build the primitives, data, and tooling they need. Partner deeply with core customers and frontier labs: work hands-on with leading AI teams and frontier research labs to tackle hard, open-ended technical problems related to frontier model improvement, performance, and deployment. Shape and propose model improvement work: translate customer and research objectives into clear, technically rigorous proposals—scoping post-training, evaluation, and safety work into well-defined statements of work and execution plans. Translate research into production impact: collaborate with customer-side researchers on post-training, evaluations, and alignment, and help design the data, primitives, and tooling required to improve frontier models in practice. Own the end-to-end lifecycle: lead discovery, write crisp PRDs and technical specs, prioritize trade-offs, run experiments, ship initial solutions, and scale successful pilots into durable, repeatable offerings. Lead complex, high-stakes engagements: independently run technical working sessions with senior customer stakeholders; define success metrics; surface risks early; and drive programs to measurable outcomes. Partner across Scale: collaborate closely with research (agents, browser/SWE agents), platform, operations, security, and finance to deliver reliable, production-grade results for demanding customers. Build evaluation rigor at the frontier: design and stand up robust evaluation frameworks (e.g., RLVR, benchmarks), close the loop with data quality and feedback, and share learnings that elevate technical execution across accounts. You have Deep technical background in applied AI/ML: 5–10+ years in research, engineering, solutions engineering, or technical product roles working on LLMs or multimodal systems, ideally in high-stakes, customer-facing environments. Hands-on experience with model improvement workflows: demonstrated experience with post-training techniques, evaluation design, benchmarking, and model quality iteration. Ability to work on hard, ambiguous technical problems: proven track record of partnering directly with advanced customers or research teams to scope, reason through, and execute on deep technical challenges involving frontier models. Strong technical fluency: you can read papers, interrogate metrics, write or review complex Python/SQL for analysis, and reason about model-data trade-offs. Executive presence with world-class researchers and enterprise leaders; excellent writing and storytelling. Bias to action: you ship, learn, and iterate. How you’ll work Customer-obsessed: start from real research needs; prototype quickly; validate with data. Cross-functional by default: align research, engineering, ops, and GTM on a single plan; communicate clearly up and down. Field-forward: expect regular customer time and research leads; light travel as needed. What success looks like Clear wins with top labs: pilots that convert to scaled programs with strong eval signals. Reusable alignment & eval building blocks that shorten time-to-value across accounts. Crisp internal docs (PRDs, experiment readouts, exec updates) that drive decisions quickly. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$230,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision.  PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Staff Software Applied AI EngineerLocation: Seattle, WA or Austin, TXPosition Summary At HackerOne, we’re advancing a new era of AI-powered offensive security. As a Staff AI Engineer, you’ll help shape the evolution of our autonomous HAI platform, driving the integration of advanced AI and agentic frameworks into HackerOne’s products.You will build intelligent security agents that reason, act, and learn — helping security teams identify, validate, and remediate vulnerabilities faster than ever. This is a high-impact technical role, reporting to the VP, AI Engineering, where you will architect the systems and frameworks that power the next generation of AI-driven vulnerability discovery.At HackerOne, we embrace a Flexible Work approach that gives us the freedom to do our best work while also fostering the connections and community that make us stronger. Reflecting this philosophy, this is a role targeted for candidates within ~50 miles of Seattle, WA or Austin, TX. We believe this balance of proximity and flexibility gives Hackeronies the chance to occasionally come together – fostering collaboration, connection, and in-person moments that enrich our culture – while still preserving the benefits of remote work. Must be able and willing to come to the office once per week (typically Thursdays).What You Will DoSuccess in the Staff AI Engineer role will be accomplished by delivering on the responsibilities below in alignment with the Talent Principles that define how we work at HackerOne.Architect and enhance our autonomous security agent “Hai,” building intelligent systems capable of natural-language reasoning, vulnerability detection, and actionable recommendations, all grounded in an AI-First mindset.Build components and services that integrate agentic AI design patterns—such as orchestration, memory systems, RAG, long-horizon tasks, and LLM-based models—into the HackerOne platform, applying an AI-First approach to improve vulnerability detection and security automation.Partner across Product, Security Research, and Engineering to introduce AI capabilities into the broader HackerOne ecosystem. As the company evolves rapidly, bring clarity and stability to shifting requirements by demonstrating strong Change Agility.Design and implement AI red-teaming agents and frameworks that proactively surface weaknesses in LLMs, generative-AI systems, and applied AI deployments, using First Principles Problem Solving to break problems down and build durable, foundational solutions.Establish meaningful metrics, observability, evaluation frameworks, and continuous feedback loops to improve model performance, safety, and user impact—ensuring decisions are grounded in Data-Driven Decision Making.Stay current with emerging AI safety research, adversarial-testing techniques, and agentic-system patterns, and integrate those learnings into HackerOne’s responsible-AI strategy with adaptability and a growth-oriented Change Agility mindset.Build APIs and integrations that enable seamless interaction between AI models, security tools, and the broader HackerOne platform, ensuring security, scalability, and interoperability across systems.Minimum Qualifications 8+ years of experience as a software engineer, including deep experience building and maintaining production-grade AI platforms and infrastructure.Must be able and willing to come to the office once per week (typically Thursdays).Proven expertise in large language models (LLMs), generative AI, and machine learning frameworks such as TensorFlow, PyTorch, and Transformers in production environments.Strong hands-on experience in AI platform engineering, including model deployment, MLOps pipelines, model serving infrastructure, and shared AI services architecture.Experience building systems that support multiple AI product teams and applications, enabling scalable experimentation and deployment.Solid understanding of AI safety and alignment principles, including responsible AI development, bias mitigation, and ethical AI practices.Preferred Qualifications Experience building AI development platforms, model registries, experimentation frameworks, and tools that accelerate AI innovation across organizations.Familiarity with ReAct, AutoGen, or Semantic Kernel for agentic orchestration and multi-agent collaboration.Experience in agent action routing, secure tool usage APIs, and feedback loops for autonomous agents.Knowledge of prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and advanced LLM optimization strategies.Experience with cloud-based AI/ML services (AWS Bedrock, GCP Vertex AI, Azure ML) and containerization technologies (Docker, Kubernetes) for AI workloads.Familiarity with Ruby on Rails, GraphQL, and React, and experience integrating AI capabilities into production web applications and APIs.Compensation Bands: Seattle and Austin$230K – $300K • Offers Equity#LI-Remote#LI-HM1Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where the intelligence layer is core to the product, not an add-on.This is a founding technical leadership role. You will act as the principal builder of A1’s AI systems - writing production code, designing ML pipelines, and setting engineering standards while directly shaping how our AI works in the real world.Why This Role MattersYou define how AI systems are built at A1You connect data, models, evaluation, and productYou raise the technical bar through direct contributionWhat You’ll DoDesign and implement end-to-end AI systemsBuild training, inference, and evaluation pipelinesWrite production orchestration and feedback codeOptimize latency, cost, and model qualityReview PRs and mentor engineersRequirements6+ years engineering experienceStrong hands-on ML backgroundProduction LLM / RAG experienceStrong Python plus one backend languageOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.

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Build, scale, and uphold the technical backbone of a global AI product - while leading by example through real systems and real code.A1 is a self-funded AI group, operating in full stealth. We’re building a new global consumer AI application where long-term success depends on deep technical rigor, strong execution, and disciplined engineering culture.This is a founding executive-level engineering role. You will personally build critical AI systems while shaping engineering culture, hiring strategy, and long-term technical direction. This is not a pure management role - you lead by building.Why This Role MattersYou set the technical and cultural foundation of the AI organizationYou own AI quality, reliability, and scalability end-to-endYou balance research ambition with real product deliveryYou act as the final technical decision-makerWhat You’ll DoPersonally build and maintain core AI infrastructureDesign model training, evaluation, and deployment pipelinesDebug and resolve production AI failuresReview and merge critical PRsDefine standards for model lifecycle and experimentationDesign org structure and hiring strategyAlign AI roadmap with business goalsRequirements10+ years of engineering experienceDeep ML expertise across training, tuning, and evaluationProven track record shipping AI-heavy productsStrong Python-heavy coding abilityExperience leading engineers by exampleNice to HaveBuilt ML systems from zeroComfortable reading and implementing researchStrong intuition for model, data, and infrastructure tradeoffsOur Team & CultureWe operate as a dense, senior, high-performance team. We value clarity, speed, craftsmanship, and relentless ownership. We behave like founders — we build, ship, iterate, and hold ourselves to a high technical bar.If you value excellence, enjoy building real systems, and want to be part of a small team creating something globally impactful, you’ll thrive here.About A1A1 is a self-funded, independent AI group, focused on building a new consumer AI product with global impact. We’re assembling a small, elite team of ML and engineering builders who want to work on meaningful, high-impact problems.