AI Creative & Design Jobs

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AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. To learn more, visit us at www.appzen.comAbout the Role:We are looking for a Senior AI/ML Engineer to join our growing AI stack team. In this role, you will be a key individual contributor responsible for evolving our platform from static LLM implementations to autonomous agentic workflows. You will work alongside highly skilled data scientists and engineers to build systems that don’t just process data, but reason, use tools, and solve complex financial problems independently. If you are passionate about the intersection of Natural Language Understanding and autonomous agency, AppZen is the place for you.Key Responsibilities:Agentic System Design: Design and implement autonomous agents capable of task decomposition, reasoning (Chain-of-Thought), and self-correction. You will build systems that move beyond simple prompts into complex, multi-step agentic workflows.Tool Orchestration & Integration: Develop robust interfaces for LLMs to interact with external APIs, databases, and financial tools. You will be responsible for ensuring reliable function calling and tool-use accuracy within our spend-to-pay ecosystem.Advanced LLM Implementation: Lead the integration of state-of-the-art LLMs, focusing on Retrieval-Augmented Generation (RAG) and long-term memory management to provide agents with the context necessary for high-stakes financial decision-making.MLOps & Production Engineering: Architect and manage advanced MLOps pipelines for continuous integration, continuous delivery (CI/CD), model serving, monitoring, and automated retraining. You'll ensure the reliability, scalability, and efficiency of all ML services.Cross-functional Collaboration: Work closely with product managers, software engineers, and data scientists to translate business requirements into technical solutions and seamlessly integrate AI/ML models into our core platforms.Required Skills & Experience:Professional Experience: 4+ years of experience building and deploying AI/ML solutions in production, with at least 1 year of focused experience in LLM application development.Agentic Frameworks: Hands-on experience with orchestration frameworks such as LangGraph, CrewAI, AutoGen, or LangChain.Reasoning & Prompt Engineering: Deep understanding of advanced prompting techniques (ReAct, Chain-of-Thought, Tree-of-Thought) and experience fine-tuning models specifically for function calling or structured output (JSON).Programming & Frameworks: You are an expert in Python (and ideally familiar with Golang) with extensive experience using PyTorch to solve complex ML problems. You understand how to bridge the gap between LLMs and data, utilizing vector databases like Pinecone or Milvus to provide agents with the "semantic memory" required for high-context, multi-step tasks.System Design: Proven ability to design microservices and distributed systems that handle high-volume data processing. You understand how to manage state in long-running agentic tasks.MLOps & DevOps: Proficient with Docker, Kubernetes, and CI/CD pipelines. Experience with LLM-specific monitoring tools (e.g., LangSmith, Arize Phoenix, or Weights & Biases) is highly preferred.Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

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What we are buildingMimica's mission is to empower enterprises, teams, and individuals to reclaim their most precious resource — time and work more efficiently, with greater purpose and impact.Our AI-powered task mining observes employee actions across the desktop and categorizes them into detailed process maps. Mimica’s process intelligence highlights inefficiencies, prioritizes improvements based on ROI, recommends the optimal technology for automation (RPA, intelligent document processing, GenAI), and provides a blueprint for building new automations and transforming work.Our approach to engineeringWe prioritize customer needs firstWe work in small, project-based teamsWe have flexibility in terms of the problems we work onWe own the full lifecycle of our projectsWe avoid silos and encourage taking up tasks in new areasWe balance quality and velocityWe have a shared responsibility for our production codeWe each set our own routine to maximize our productivityYour missionYou will join us as our Head of Machine Learning, and report to our CTO. You’ll manage 9 Machine Learning Engineers, including 3 Team Leaders. You’ll have a mix of People Management and project coordination responsibilities.You'll understand the strategic direction of the ML team's projects, with the intention to coordinate projects, dependencies, allocate resources, and ensure strategic alignment with business and product goals.You'll contribute to the architecture and development of our systems by empowering the team through 1:1s, code reviews, and discussions to facilitate the delivery of impactful features. Your leadership will foster a culture of growth, efficiency, and technical excellence, driving the execution of key ML initiatives that support the company’s broader vision.Part of your day-to-dayLead and nurture a growing team of machine learning engineers, supporting their career development through coaching and mentorship.Leading team OKR discussions, coordinating projects and facilitating team meetings, planning and retros.Collaborate with the CTO, Platform and Product Managers to align team priorities with company OKRs.Collaborate with the People team on recruiting and onboarding talent that matches our values and technical excellence.Act as a sounding board for the team, empowering the team, and support identifying and resolving bottlenecks and efficiency blockers, enabling the team to iterate faster.Drive the development and deployment of ML systems, optimising tools and infrastructure for efficiency, while ensuring timeline and goals are met.Promoting a culture of collaboration and continuous learning, and mentoring team members in their development.RequirementsStrong background in applied AI/ML research, development, and deploymentSignificant experience in leading and executing machine learning initiatives, particularly in high-growth and large-scale product companies.Proven track record in managing and growing ML/Data Scientist teams, including hiring, mentoring, and developing talent.Deep understanding of ML engineering practices, including MLOps and data engineering.Expertise in collaborating with Product and Engineering teams to align ML efforts with broader product goals.Strong communication skills to engage with senior leaders, product teams, and engineers in complex technical discussions.Strong analytical and troubleshooting skills - methodically decomposing systems to identify bottlenecks, determine root causes and implement effective solutions.Drive to continually develop your skills, improve team processes and reduce debt.Fluency in English, with effective communication skills – articulating complex ideas, concepts, and trade-offs clearly and getting buy-in for strategic technical decisions.BonusBackground in successful startups/scale-ups, driving iterative development and rapid delivery.Experience working in a distributed systems environment.Experience with general software design and data protection mechanisms.What we offer💰 Generous compensation + stock options - aligned with our internal framework, market data, and individual skills.🏢 Distributed work: Work from anywhere - fully remote, in our hubs, or a mix.💻 Company-issued laptop*, remote setup stipend, and co-working budget📍 Flexible schedules and location☀️ Ample paid time off, in addition to local public holidays🍼 Enhanced parental leave🧘‍♀️ Health & retirement benefits📖 Annual learning & development budget - up to £500 / €600 / $650 per year🌴 Annual workaways and regular virtual & in-person socials🌍 Opportunity to contribute to groundbreaking projects that shape the future of workNote: Some benefits may vary depending on location and role *On company equipment: Company-issued equipment (e.g. laptops) is provided for work use and must be returned upon departure, unless otherwise agreed.

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe 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 (Python, JavaScript/TypeScript, Rust, SQL, etc.) 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 startedSimply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsYou hold a Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields. You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools.Your level of English is advanced (C1) or above.Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases.Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI)Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects.Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments.Strong skills in defect documentation, profiling, and debugging Ruby applications.Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt.Hackathon or competitive coding experience is a plus.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 $12/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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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 $50/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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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 $50/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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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 $24/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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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 SesameSesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice companions part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.About the RoleAs a Backend Infrastructure Engineer at Sesame, you will work across the stack, with an emphasis on backend, infrastructure, and systems. You should feel comfortable working on any typical software project, with the ability to quickly learn new tools and services with a strong intuition on software development and software deployment best practices.Responsibilities: Build a secure, maintainable, self-serve core infrastructure.Build a modern training architecture and a modern serving architecture.Build and scale a low-latency voice interface and audio processing pipeline.Build low maintenance, high leverage developer tooling, server, and data infrastructure.Required Qualifications:Ability to set, own, and communicate direction.  Hands-on reliability engineering experience. You hold convictions about monitoring and observability methodology, deployment systems, loosely coupled components, etc.Experience shipping services at scale.Experienced systems designer in designing and shipping flexible domain models and APIs.A track record of delivering efficiency through automation.Experience solving challenging infrastructure problems (using the tools below). Preferred Qualifications:Significant IaC experience (Terraform preferred).CloudFormation, Pulumi, Kube-based, etc. Architected a multi-stack, self-serve Terraform system, or maintained one.Understand the challenges of building infrastructure at scale.Significant Kubernetes experience.Some ML experience.Torch experience, especially model optimization for serving.General ML training or serving experience. Built ML serving and/or training infrastructure.Experience in Torch Serve, Seldon, KServe, Ray Serve, etc.Experience building large-scale distributed training and serving systems.Data engineering experience.Technical leadership.Database design.Real-time communication experience.Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities—contact careers@sesame.com for assistance.Full-time Employee Benefits: 401k matching100% employer-paid health, vision, and dental benefits Unlimited PTO and sick time Flexible spending account matching (medical FSA) Benefits do not apply to contingent/contract workers

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About Us:webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.About the Role:The AI Research Scientist will contribute to webAI’s development of next-generation AI models and systems. In this role, you will design, train, evaluate, and optimize cutting-edge machine learning models including large language models, multimodal architectures, and on-device inference systems. You will work closely with research leadership, applied AI teams, and platform engineering to advance scientific discovery while ensuring that innovations translate into real-world impact.This is a hands-on research role for someone who loves experimentation, solving complex problems, and building AI that is powerful, efficient, and privacy-preserving. Responsibilities:Design, train, and optimize machine learning models including LLMs, multimodal models, transformers, and diffusion architecturesConduct research on model efficiency, quantization, compression, and on-device deploymentPrototype novel model architectures, training methods, and inference strategies for distributed AIDevelop and evaluate benchmarks, datasets, and experimental frameworks to test model performanceCollaborate with engineering teams to integrate research findings into production systemsStay current on leading research in deep learning, generative AI, and distributed MLAnalyze experimental results and communicate insights clearly to technical and non-technical stakeholdersDocument research findings, contribute to internal papers, and present technical work across the organizationIdentify emerging technologies and propose research directions aligned with webAI’s strategic priorities Qualifications:4+ years of experience (can be graduate research) in machine learning research, AI model development, or related fieldsStrong expertise in deep learning architectures including transformers, CNNs, RNNs, and diffusion modelsHands-on experience training and fine-tuning large-scale modelsProficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAXExperience building datasets, designing experiments, and validating ML model performanceDeep understanding of optimization techniques including quantization, distillation, pruning, and hardware-aware trainingStrong problem-solving skills and ability to work independently on complex research tasksEffective communication skills for presenting research findings to diverse audiencesBachelor’s degree in Computer Science, Engineering, Mathematics, or a related field Preferred SkillsMaster’s or PhD in Machine Learning, Computer Science, AI, or a related fieldExperience with distributed training, edge inference, or on-device MLResearch experience in generative AI, reinforcement learning, or multimodal learningFamiliarity with privacy-preserving ML techniques such as federated learningExperience contributing to academic publications, patents, or open-source ML projectsComfort operating in a fast-paced, high-growth startup environment We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:Truth - Emphasizing transparency and honesty in every interaction and decision.Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients. Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.Benefits:Competitive salary and performance-based incentives.Comprehensive health, dental, and vision benefits package.401k Match (US-based only)$200/mos Health and Wellness Stipend$400/year Continuing Education Credit$500/year Function Health subscription (US-based only)Free parking, for in-office employeesUnlimited Approved PTOParental Leave for Eligible EmployeesSupplemental Life Insurance webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

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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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About MercorMercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development.Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters.About the RoleAs a Research Engineer at Mercor, you’ll work at the intersection of engineering and applied AI research. You’ll contribute directly to post-training and RLVR, synthetic data generation, and large-scale evaluation workflows that meaningfully impact frontier language models.Your work will be used to train large language models to master tool use, agentic behavior, and real-world reasoning in real-world production environments. You’ll shape rewards, run post-training experiments, and build scalable systems that improve model performance. You’ll help design and evaluate datasets, create scalable data augmentation pipelines, and build rubrics and evaluators that push the boundaries of what LLMs can learn.What You’ll DoWork on post-training and RLVR pipelines to understand how datasets, rewards, and training strategies impact model performance.Design and run reward-shaping experiments and algorithmic improvements (e.g., GRPO, DAPO) to improve LLM tool-use, agentic behavior, and real-world reasoning.Quantify data usability, quality, and performance uplift on key benchmarks.Build and maintain data generation and augmentation pipelines that scale with training needs.Create and refine rubrics, evaluators, and scoring frameworks that guide training and evaluation decisions.Build and operate LLM evaluation systems, benchmarks, and metrics at scale.Collaborate closely with AI researchers, applied AI teams, and experts producing training data.Operate in a fast-paced, experimental research environment with rapid iteration cycles and high ownership.What We’re Looking ForStrong applied research background, with a focus on post-training and/or model evaluation.Strong coding proficiency and hands-on experience working with machine learning models.Strong understanding of data structures, algorithms, backend systems, and core engineering fundamentals.Familiarity with APIs, SQL/NoSQL databases, and cloud platforms.Ability to reason deeply about model behavior, experimental results, and data quality.Excitement to work in person in San Francisco, five days a week (with optional remote Saturdays), and thrive in a high-intensity, high-ownership environment.Nice To HaveReal-world post-training team experience in industry (highest priority).Publications at top-tier conferences (NeurIPS, ICML, ACL).Experience training models or evaluating model performance.Experience in synthetic data generation, LLM evaluations, or RL-style workflows.Work samples, artifacts, or code repositories demonstrating relevant skills.BenefitsGenerous equity grant vested over 4 yearsA $20K relocation bonus (if moving to the Bay Area)A $10K housing bonus (if you live within 0.5 miles of our office)A $1K monthly stipend for mealsFree Equinox membershipHealth insurance

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About AKASAAt AKASA, our mission is to build the future of healthcare with AI. As the leading provider of generative AI solutions for the healthcare revenue cycle, we help health systems comprehensively capture and communicate the full patient clinical journey. By empowering health systems to streamline their operations, they can focus on what matters most - delivering quality patient care. We have raised over $205M in funding from investors such as Andreessen Horowitz, BOND, and Costanoa Ventures.This is the most exciting time to join AKASA. Revenue bookings for our new AI-native product suite have grown over 20x since launching in 2024. In this time, we have broken our record for the largest deal in company history three times consecutively. This growth is driven by the massive improvement we are generating for our customers across clinical quality and documentation accuracy, both top priority areas for health system leaders.Our deployments have been recognized nationally as "one of the most comprehensive real-world uses of GenAI in healthcare finance to date" (link). Our customer base represents more than $120B+ in net patient revenue and includes the most innovative health systems in the country, like Cleveland Clinic, Duke, Stanford, and Johns Hopkins.Some of our most recent recognitions include being named the #1 most promising healthcare RCM startup of 2025 by Black Book Market Research and one of the fastest-growing GenAI startups to watch by AIM Research. Our CEO was ranked among the “Top 50 Healthcare Technology CEOs” by the Healthcare Technology Report, and we have been certified as a “Great Place to Work” for the past five years in a row, just to name a few.We’re building on this momentum to redefine what’s possible in healthcare. We’re looking for exceptional people to help us accelerate that reality.About the RoleThe Data Platform team at AKASA is a deeply cross-functional team, consisting of engineering, analytics, and data science roles. The team collaborates closely with most teams throughout the organization, including but not limited to; Product, Core Platform Engineering, Machine Learning, and Customer Engagement.As a Software Engineer on the Data Platform team, you will support Machine Learning’s efforts to train in-house models via custom data pipeline development, directly contribute to product development through in-app dashboarding, and enable Analytics and Data Science efforts by developing core Data Platform infrastructure and tooling.The AKASA office is located in South San Francisco. While we support remote work on a variety of teams, we have a strong Bay Area presence across the company. For this role, we're looking for someone to join either our Bay Area team every Wednesday in the office or our NYC team for co-working days.What You'll DoWork with a tech stack including but not limited to: Python, Postgres, Redshift, Prefect, Kubernetes, Grafana, and various additional AWS services such as SQS and CloudwatchBuild new and maintain existing data pipelines to support Machine Learning model training and scalable customer deploymentsSupport Analytics and Data Science initiatives via building and maintaining core Data Platform infrastructure and toolingContribute directly to product development via maintaining in-app dashboarding infrastructureExplore new technologies and grow your technical skillsetSkills & QualificationsBS in Computer Science/Software Engineering, or similar3+ years of software engineering or data engineering experienceProfessional experience in Python and SQLCloud computing experience (AWS preferably)Demonstrable knowledge of software development fundamentals and experience across the software development lifecycleA delivery focused mindsetA passion and excitement about healthcare’s unique challenges and opportunitiesNice-to-HavesData platforms, data pipelines, or comparable servicesData Warehousing (Amazon Redshift preferably)Scheduling/orchestration technologies such as Prefect or AirflowKubernetesBI tools (Tableau/Looker/Quicksight/SuperSet etc)What We OfferUnlimited paid time off (PTO)Expansive coverage for health, dental, and visionEmployer contribution to Health Savings Accounts (HSA)Generous parental leave policyFull employee coverage for life insuranceCompany-paid holidays401(K) planCompensationBased on market data and other factors, the salary range for this position is $175,000 - $205,000 + Equity. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.We’re committed to doing the best work of our lives, together. Come see if we're the right team for you.AKASA is a proud equal opportunity employer and we believe that a diverse and inclusive workforce is an imperative. We welcome people of different backgrounds, genders, races, ethnicities, abilities, sexual orientations, and perspectives, just to name a few. We do not discriminate based upon any protected class and we encourage candidates of all identities and backgrounds to apply. AKASA considers qualified applicants regardless of criminal histories in accordance with the San Francisco Fair Chance Ordinance.AKASA is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at recruiting@akasa.com.

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Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta.   About the role: We are seeking curious, detail-oriented students to join our AI Delivery team as AI Quality Assurance Interns. This is a hands-on role where you will evaluate the behavior, accuracy, and reliability of Cresta’s AI Agents and Agent Assist systems. Unlike traditional QA, this work sits at the intersection of: AI behavior analysis Intent recognition evaluation Conversation quality assessment Model output auditing Light prompt testing and refinement Responsibilities: You will help ensure our AI systems act as intended, follow correct business logic, and provide accurate and safe outputs to end users.   As an AI Quality Assurance Intern, you will: Execute structured test plans for AI Agent implementations Validate that intents, entities, and workflows trigger correctly Identify behavioral inconsistencies, misclassifications, or hallucinations Review and validate AI-generated suggestions, summaries, and classifications Provide actionable feedback to improve intent models and redaction/PII handling Run bias, redaction, and transcription accuracy checks Spot patterns or emerging issues across test sets Contribute ideas for improving internal QA processes and tools Qualifications We Value: This is an excellent fit for students interested in: AI/ML, NLP, or chatbots Product quality and user experience Linguistics, conversation analysis, or human–AI interaction Exploring a career in AI evaluation, AI ops, or product QA No advanced ML experience is required — just strong analytical thinking and curiosity about how intelligent systems behave. Perks & Benefits: $30-$50 per hour subject to taxes Lunch can be expensed (up to $25) while working in the office. PT0: 4 days This posting will be used to fill a newly-created role. We have noticed a rise in recruiting impersonations across the industry, where scammers attempt to access candidates' personal and financial information through fake interviews and offers. All Cresta recruiting email communications will always come from the @cresta.ai domain. Any outreach claiming to be from Cresta via other sources should be ignored.  If you are uncertain whether you have been contacted by an official Cresta employee, reach out to recruiting@cresta.com.

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The RoleWe are looking for a well-rounded AI/ML Systems Engineer to join our team and build LM Studio with us. The ideal candidate loves working at the intersection of machine learning and systems engineering, is a prolific problem solver, and is passionate about building great products. Specifically, you will build and evolve on-device inference engines and integrations for local LLMs and other AI technologies in LM Studio. In this role you will design and maintain the runtime that powers on-device model inference, ship day-0 support for new models, and optimize performance across a wide range of hardware configurations.You will work closely with model authors and upstream open-source communities (e.g., llama.cpp, MLX, and more) to ensure LM Studio users have access to the latest and greatest AI experiences. This role might be for you if you are passionate about living at the boundary between models and systems, and you care deeply about shipping great local AI-powered experiences for both end users and developers.ResponsibilitiesBuild and maintain world-class on-device inference engines for LLMs and other models.Integrate emerging AI/ML technologies as production-ready features in LM Studio.Develop with and contribute to OSS engines like llama.cpp, MLX, and more.Collaborate closely with model authors to ship day-0 support for new models.Profile, debug, and improve process memory, CPU usage, and GPU usage.Be an excellent communicator, contributor, and collaborator.Qualifications3+ years of experience with C++ and Python. TypeScript experience is a plus.2+ years of experience with machine learning frameworks and model inference.Excellent problem-solving and communication skills.Strong understanding of operating systems.Strong understanding of software system design.Into local LLMs and have tinkered with them in LM Studio.Passionate about a great user and developer experience.Element LabsWe aim to build delightful and potent creation tools for AI. We are a small team based in New York. Everyone on the team is IC-minded, intellectually curious, self-motivated, and loves software. We care deeply about our user community and we strive to build canonical software that users and developers love.Our products include the LM Studio desktop app, our developer SDKs: lmstudio-js and lmstudio-python, our CLI lms, MLX engine mlx-engine for M-chip Macs, venvstacks which enables us to ship Python-based software, the collaboration Hub for individuals and teams, and more currently being built.

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About Arize AI is rapidly transforming the world. As generative AI reshapes industries, teams need powerful ways to monitor, troubleshoot, and optimize their AI systems. That’s where we come in. Arize AI is the leading AI & Agent Engineering observability and evaluation platform, empowering AI engineers to ship high-performing, reliable agents and applications. From first prototype to production scale, Arize AX unifies build, test, and run in a single workspace—so teams can ship faster with confidence. We’re a Series C company backed by top-tier investors, with over $135M in funding and a rapidly growing customer base of 150+ leading enterprises and Fortune 500 companies. Customers like Booking.com, Uber, Siemens, and PepsiCo leverage Arize to deliver AI that works.Note: The nature of this role requires candidates to be based in the Buenos Aires area, though there isn't an in-office requirement. The Opportunity We’re looking for an Application Engineer who thrives on solving hard problems with code. In this role, you'll have the opportunity to work at the cutting edge of generative AI in a high-impact role with autonomy and ownership. What You’ll Do Debug and fix issues in our platform (and ship PRs with your fixes). Build internal tools and copilots powered by generative AI to supercharge our team. Rapidly prototype proof-of-concepts for customer use cases. Work across Engineering, Product, and Solutions to unblock customers and push the boundaries of AI adoption. What We’re Looking For You have 2-5 years of experience in software. Strong in Python and Golang; comfortable shipping fixes in production systems. Hands-on with generative AI (LLM APIs, frameworks, building copilots or automations) Hands-on with OpenTelimetry and deep familiarity with distributed tracing concepts. Familiarity with AI frameworks (CrewAI, Langchain, Langgraph, DiFy, LiteLLM, etc). Familiarity or eagerness to learn JavaScript/TypeScript. Great debugger, creative problem solver, and fast learner. Independent and resourceful. You create solutions, not dependencies. Bonus Points (but not required!) Experience in a customer-facing role Built copilots, plugins, or custom GenAI-powered applications. Open-sourced or contributed PRs to real codebases. Startup or fast-moving environment experience. Actual compensation is determined based upon a variety of job related factors that may include: transferable work experience, skill sets, and qualifications. Total compensation also includes unlimited paid time off, generous parental leave plan, and others for mental and wellness support.More About Arize Arize’s mission is to make the world’s AI work—and work for people. Our founders came together through a shared frustration: while investments in AI are growing rapidly across every industry, organizations face a critical challenge—understanding whether AI is performing and how to improve it at scale. Learn more about what we're doing here: https://techcrunch.com/2025/02/20/arize-ai-hopes-it-has-first-mover-advantage-in-ai-observability/ https://arize.com/blog/arize-ai-raises-70m-series-c-to-build-the-gold-standard-for-ai-evaluation-observability/ Diversity & Inclusion @ Arize Our company's mission is to make AI work and make AI work for the people, we hope to make an impact in bias industry-wide and that's a big motivator for people who work here. We actively hope that individuals contribute to a good culture Regularly have chats with industry experts, researchers, and ethicists across the ecosystem to advance the use of responsible AI Culturally conscious events such as LGBTQ trivia during pride month We have an active Lady Arizers subgroup

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Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 700+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewHarvey is building the future of legal work, and we’re looking for an Engineering Manager to help lead the charge. Our Document Platform team sits at the core of our platform—enabling our AI systems to make sense of massive troves of legal documents. From OCR to vector storage, our systems must be fast, accurate, and scalable to meet the demands of the top law firms in the world.You’ll lead a team of exceptional engineers to extend our capabilities, push the boundaries of what’s possible in document understanding, and ensure our infrastructure scales with our users.We move with urgency, bias toward simplicity, and expect our leaders to be hands-on when needed. If you’re energized by ownership, decisive execution, and solving real user problems, we'd love to hear from you.What You'll DoLead and grow a team of world-class engineers working on document ingestion, understanding, and retrieval.Define and execute a long-term technical roadmap for our document processing systems that aligns with Harvey’s product vision and the needs of our customers.Collaborate closely with Product, Infrastructure, and Applied AI teams to design robust systems that bridge cutting-edge research and production readiness.Stay hands-on: unblock engineers, participate in architecture reviews, and dive into code when needed.Cultivate a culture of engineering excellence, thoughtful experimentation, and continuous improvement.What You Have2+ years of experience in a software engineering management role, leading backend teams operating in technically complex domains.A track record of leading high-performing, engaged engineering teams.A strong foundation in backend systems, with 5+ years of hands-on experience designing and operating distributed systems in a cloud environment.Ideally, direct experience in architecting or scaling document ingestion and processing, search systems, or data infrastructure (e.g. OCR pipelines, Elasticsearch, vector databases).Compensation Range$260,000 - $330,000 USDPlease find our CA applicant privacy notice here.#LI-ML1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing our business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.In this role, you will:Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.This career opportunity may be a good match for you if you possess: 5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Strong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Nice to have: Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Why this role?In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Defence and National Security business. In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer demos and proof of concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.In this role, you will:Develop and deliver cutting-edge agentic AI solutions utilizing Cohere’s foundation models and Agentic AI Foundry - North.Architect scalable, secure, and customizable NLP and generative AI solutions tailored to enterprise customer needs.Collaborate with customers to understand complex workflows, design pilots, and translate business requirements into technical solutions encompassing model fine-tuning, custom agents, and agent orchestration.Support deployment and integration of large language models (LLMs) and custom solutions into production environments using Kubernetes, Docker, and cloud infrastructures, ensuring high performance and security.Lead technical engagements, including deep dives into AI architectures, workshop facilitation, and establishing best practices for agent-based AI systems and model customization.Work with product development to provide customer feedback on agentic AI capabilities, contribute to product enhancements, and help shape future features.This career opportunity may be a good match for you if you possess: 5+ years of experience in AI/ML solution architecture, with demonstrated expertise in agentic AI, model customization, and deploying tailored AI models in enterprise contexts.Top Secret Security clearance in CanadaStrong hands-on skills with Python, Jupyter Notebooks, and cloud-native deployment frameworks such as Kubernetes, Docker, Cloud managed AI services like AWS Sagemaker, Bedrock, or Azure AI Foundry or Google Vertex AI.Experience in designing and deploying “agentified” AI workflows, that involve multiple interconnected models or agents, to solve business challenges.Hands-on experience building on agent orchestration frameworks like Cohere North and deploying custom agents to production.Familiarity with model fine-tuning methodologies, and the development of AI agents optimized for specific workflows and enterprise needs.In-depth understanding of the strengths, weaknesses, and operational considerations of generative LLMs, with experience in customizing and orchestrating these models.Excellent communication skills to articulate complex AI architectures to both technical stakeholders and executive audiences.Nice to have: Background in building and managing scalable AI/ML ecosystems, with knowledge of multi-cloud deployment strategies.Nice to have: Familiarity with security standards for deploying agent-based AI solutions, including data privacy, model safety, and access controls.Nice to have: Experience working in a startup-like context.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for up to 6 months🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend✈️ 6 weeks of vacation (30 working days!)

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Product Instructor – Agentic AI BuilderLocation: Bangalore (Hybrid)About EmaEma is redefining how work gets done by building the next generation of agentic AI technology that empowers every employee to be their most creative and productive. Our Universal AI Employee automates repetitive tasks, enabling enterprises to focus on strategic initiatives.Founded by ex-Google, Coinbase, and Okta executives and backed by the world’s top investors and angels, Ema is well-positioned to revolutionize enterprise productivity. We are headquartered in Silicon Valley, with a rapidly growing team in Bangalore. Our hybrid work environment encourages innovation and collaboration across geographies.Role OverviewAs a Senior Technical Trainer / Developer Educator (Product Instructor) for Ema’s Agentic AI Builder, you will lead the design and delivery of a world-class enablement program that helps customer engineering teams learn, build, deploy, and operate AI agents independently.This is not a traditional training role. You’ll blend strong technical depth (APIs, integrations, cloud, debugging, production operations) with instructional excellence to create structured training, hands-on labs, and certification frameworks that accelerate customer adoption and reduce long-term dependency on Ema.You will partner closely with Product Engineering, AI Application Engineering, Solution Architects, and SRE/DevOps to ensure enablement is accurate, practical, enterprise-ready, and continuously evolving with the Agentic AI Builder roadmap.Key Responsibilities1. Training Enablement Program (Core Ownership)Own and evolve the role-based enablement curriculum for the Agentic AI Builder (Developer, Admin/Ops, Security/Compliance). Deliver instructor-led training (virtual/on-site), interactive workshops, and structured office hours. Create progressive learning paths that cover: Agentic AI Builder fundamentals and mental model (agents, tools, workflows, policies/guardrails) Builder UX + developer workflows (templates, debugging, testing) Integrations and enterprise connectivity (APIs, events, webhooks, connectors) Observability and quality (logs, traces, evaluation, prompt/agent debugging) Release lifecycle (environments, versioning, change management) Production readiness (reliability, scaling, incident response) 2. Hands-On Labs, Capstones, and Sample AssetsBuild and maintain hands-on labs, sample agent projects, reference implementations, and quickstart guides. Create capstone exercises that reflect real enterprise use cases (e.g., ticket triage, HR ops, finance approvals, IT automation). Maintain “golden paths”: Starter templates (agent patterns, tool usage patterns) Integration examples (auth, secrets, external APIs, eventing) Debugging and evaluation workflows Ensure labs are runnable across customer environments with minimal friction. 3. Certification & Skill MilestonesDefine skill milestones and certification criteria aligned to the engagement phases: Training Certified (Build-ready) Guided Build Certified (Co-build capable) Production Certified (Operate-ready) Build assessments: knowledge checks, hands-on practical tests, and rubric-based evaluations. Partner with Customer Success / Enablement leads to track certification progress and intervene when teams fall behind. 4. Guided Build Reinforcement (Coaching in Real Implementations)Reinforce training concepts during Guided Build by pairing with customer developers and teams. Help customers adopt best practices for: agent design and decomposition tool creation and integration reliability prompt / policy / safety guardrails testing, evaluation, and regression control release and rollout strategies Identify recurring customer pitfalls and convert them into improved training modules and reusable assets. 5. Production Enablement & Operational Readiness (Assisted Production)Collaborate with SRE/DevOps to create production enablement content: operational runbooks and SOPs monitoring and alerting checklists incident simulations, escalation playbooks Teach customers to run the Agentic AI Builder at enterprise scale: handling failures, timeouts, retries managing secrets, permissions, and audit logs performance and throughput considerations governance: review gates, standards, and approvals 6. Feedback Loop Into Product & DX ImprovementsAct as a “field signal amplifier” for the Agentic AI Builder: synthesize feedback from training, labs, and office hours highlight product gaps, UX friction, documentation needs propose improvements to reduce onboarding time and support tickets Partner with engineering to ensure enablement content stays current with releases. Required Skills & Qualifications8–12+ years of experience as a software engineer, solutions engineer, product engineer, solution architect, or developer advocate—plus 3–5+ years in technical training, enablement, or mentoring roles. Strong experience building and operating enterprise SaaS products, APIs, and integrations. Proven ability to translate complex systems into clear learning paths and hands-on labs. Comfortable teaching both: builder-driven workflows (templates, config, guardrails), and engineering workflows (APIs, debugging, CI/CD, testing). Strong understanding of cloud systems (AWS/GCP/Azure), auth (OAuth/JWT), observability, and production operations. Excellent communication and facilitation skills with enterprise engineering audiences. Nice to HaveExperience with agentic systems, orchestration frameworks, or AI automation products. Familiarity with LLM evaluation, regression testing, prompt/agent debugging methodologies. Prior experience enabling external enterprise customers at scale. What Success Looks Like (Outcomes & Metrics)Customer teams reach “Build-Ready” certification faster (reduced time-to-proficiency). Higher % of customer-led build tasks (reduced dependency during Guided Build). Higher “first-time-right” production readiness (fewer go-live escalations). Fewer repeat support questions due to better labs/docs/self-serve paths. Improved adoption and expansion due to confident internal champions. Why Join EmaShape how enterprises adopt and scale agentic AI—directly influencing customer outcomes. Work at the intersection of AI product engineering, developer experience, and education. High ownership: build the enablement engine for a rapidly evolving product. Partner closely with world-class engineers, applied AI teams, and product leaders. Competitive compensation, meaningful ownership, and rapid career growth. Ema’s Culture & ValuesHigh Bar on Quality – We value excellent, production-grade thinking. Ownership & Accountability – You own results, not just training sessions. Impact-Driven Approach – Enablement success is measured by customer independence. Team Collaboration & Growth – We learn fast and teach each other. No Hierarchy, Just Execution – We move quickly, stay humble, and deliver.