Find your next AI Engineering role

Sierra is building a platform to enable companies worldwide to create better, more human customer experiences with AI. We partner with industry leaders and are primarily an in-person company based in San Francisco, with growing international offices. Our co-founders have extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI. We are guided by core values of Trust, Customer Obsession, Craftsmanship, Intensity, and Family, which shape our culture and actions.

Baseten powers mission-critical inference for leading AI companies, enabling them to bring cutting-edge models into production. We are seeking an Engineer for our enterprise engineering team to build capabilities that support large organizations with their security, compliance, and procurement needs. This role involves deep product and systems work across the full stack, focusing on core building blocks like identity and access management, billing, regional isolation, and deployment options. You will design authentication and authorization systems and develop administrative experiences for enterprise IT teams.

Cohere

Cohere is a leading enterprise AI company focused on building cutting-edge foundation AI models and end-to-end products for real-world business problems. The integration team specifically focuses on developing and scaling machine learning algorithms and infrastructure for LLM post-training, with an emphasis on large-scale, distributed Reinforcement Learning (RL) methods. This role is crucial for enhancing the post-training codebase by implementing new research tools, optimizing algorithms, and scaling distributed RL capabilities. We are looking for passionate individuals who are meticulous in their approach to engineering and science, contributing to both production code and research efforts.

OpenAI

As an AI Architect, you will be the senior technical owner for a named portfolio of customers, acting as the primary technical counterpart to their leadership teams. You will shape each customer's AI strategy, guiding their journey from pre-sales discovery and solution evaluation through deployment, adoption, and measurable business impact. You will own the technical account plan across various OpenAI solutions, translating business priorities into a focused use-case portfolio and an actionable adoption roadmap. You will remain accountable for the technical outcome, coordinating specialists for deeper expertise and execution where needed, requiring strong industry fluency, sound architectural judgment, and the ability to navigate executive strategy and hands-on technical conversations.

LangChain is seeking a Fullstack Engineer to join the LangSmith team, focusing on our commercial AI observability and evaluation platform. In this role, you will build new features and functionality, collaborating closely with enterprise customers, developer end-users, and internal stakeholders. You will have the opportunity to shape the product and contribute to making intelligent agents ubiquitous.

$145k - $180k

As an Engineering Manager on the Autonomy Data team, you will lead a team of engineers focused on revolutionizing how high-quality data is produced, curated, and leveraged to accelerate autonomy development. Your team will focus on Data Quality, Labeling Workflows, and Data Mining, building systems to measure, validate, and improve dataset integrity, designing intelligent annotation pipelines, and surfacing rare driving scenarios from fleet data. You will drive the adoption of foundation models and cutting-edge AI techniques to scale these capabilities, setting technical direction and team goals aligned with model development, safety, and deployment milestones.

$60k - $300k

Harvey

Why Harvey At Harvey, we’re transforming how legal and professional services operate. 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 1500+ customers in 60+ 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 moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. Role Overview As a Staff Frontend Software Engineer at Harvey, you’ll play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers including notifications, permissions and feature flag infrastructure. We also build enterprise-grade collaboration product experiences for law firms. You will design and own systems that not only serve as critical infrastructure for the rest of the company, but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers who are excited by the opportunity to move between deep platform thinking and hands-on product iteration. This role is based in Toronto, Canada. We use a hybrid, 3+ days-per week in-person work model and offer relocation assistance to new employees. What You’ll Do - Design and build foundational infrastructure including authentication, permissions, feature flagging, notifications, and document management integrations - Build and evolve Harvey’s internal product platform, accelerating development across multiple product lines and engineering teams - Lead development of enterprise-facing features, such as secure multi-party collaboration, cross-organization workflows, and robust admin controls - Maintain high standards for security, privacy, and system reliability, particularly in handling sensitive legal data - Collaborate cross-functionally with product, AI, design, and GTM teams to deliver delightful, enterprise-ready experiences What You Have - 5+ years (post-BS/MS) of frontend-focused software engineering experience on platform and/or product-oriented teams - Experience working across the stack to ship user-facing features with measurable impact - Strong knowledge of frontend technologies such as React, Typescript, and CSS - Familiarity with or interest in enterprise SaaS patterns, such as role-based access control (RBAC), feature flag systems, and third-party integrations - Track record of shipping highly intuitive products, strong attention to detail - Strong programming skills and general Computer Science knowledge What We Offer - Be part of building something special as a founding member of our Toronto team - Structured hybrid working arrangement: 3 days in our Toronto office, 2 days working from home We are an AI company and we use AI to improve all of our processes, including in the recruitment process. Whilst we do use AI to help improve efficiency in our recruitment process, we do not rely on AI to make any automated decisions and ensure that a human reviews AI output. Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here]. #LI-KT1 Harvey 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 [email protected]

CA$197k - CA$271k

Harvey

As a Staff Backend Software Engineer at Harvey, you will play a pivotal role in shaping the foundation of our product platform while directly building user-facing features for some of the world’s leading law firms and enterprise customers. This team owns and operates the platform layer that enables secure, reliable, and flexible experiences for our customers, including notifications, permissions, and feature flag infrastructure. You will design and own systems that not only serve as critical infrastructure for the rest of the company but also directly impact how our users engage with Harvey’s AI-powered legal tools. This role is ideal for engineers excited by the opportunity to move between deep platform thinking and hands-on product iteration.

OpenAI

The Codex Research team at OpenAI is responsible for developing frontier AI agents, including the models behind Codex, ChatGPT, and other advanced products. This role focuses on improving the capabilities, reliability, and product fit of these agentic models. You will have the opportunity to own research directions, build critical training infrastructure, create evaluation methods, or drive capabilities from initial concept through experimentation and launch. This is a broad, high-agency role for individuals who can tackle ambiguous problems across research, engineering, data, evals, and product, and who are excited about building AI that can act in the world, write code, use tools, and collaborate with users and other agents.

Mistral AI

Mistral AI is seeking an Applied AI Engineer to drive the adoption of its products among customers and collaborate with them to address complex technical challenges. This role is integral to the Applied AI Engineering team, focusing on the successful deployment of Mistral AI products and building complex enterprise use-cases. You will work hand-in-hand with customers from pre-sale to post-implementation, ensuring solutions meet and exceed client expectations. You will manage customer relations involving multiple stakeholders and serve as a key resource in externalizing our research in production settings.

OpenAI

We are seeking engineers passionate about distributed systems, close-to-the-metal performance optimization, and building scalable database infrastructure from the ground up. As an engineer on the Database Systems team, you'll contribute to the core database engine, driving improvements across ingestion, query execution, indexing, and storage. You'll partner with teams across OpenAI to unlock new product capabilities and help scale online database reliability and throughput as usage grows by orders of magnitude.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will own the entire lifecycle of Sierra's AI agents for customers, from initial pilot to production. This role sits at the intersection of product, agent building, and customer engagement, requiring close collaboration with both technology and people. You will transform complex customer problems into agents that deliver measurable business impact, acting as a trusted strategic advisor to enterprise leaders and partnering closely with customer teams to ensure successful implementation and iteration.

We are seeking engineers to develop open-source libraries that enable customers to observe, understand, and optimize AI within their production applications. These SDKs are a crucial component of our platform, powering evaluation and observability pipelines across diverse environments, frameworks, and AI providers. This role is perfect for engineers who are passionate about developer experience, API design, and building high-performance, reliable, and idiomatic libraries. You will manage the entire SDK lifecycle, from design and implementation to release, documentation, and community support. Your contributions will be integrated into thousands of applications, shaping the adoption and operationalization of AI across industries.

We are seeking engineers to develop open-source libraries that enable customers to observe, understand, and optimize AI operations within their production applications. These SDKs are fundamental to Braintrust's platform, powering evaluation and observability pipelines across diverse environments, frameworks, and AI providers. This role is perfect for engineers who are passionate about developer experience, API design, and building fast, reliable, and idiomatic libraries. You will manage the entire SDK lifecycle, from design and implementation to release, documentation, and community support. Your contributions will be integrated into thousands of applications, shaping the adoption and operationalization of AI across industries.

Replit

As an Enterprise/Strategic Field Engineer, you will be the technical expert for Replit's largest and most strategic accounts. This hybrid role involves high-impact pre-sales activities, such as closing complex technical evaluations, and post-sales responsibilities, including driving adoption, expansion, and retention. You will own the complete technical relationship, from initial architecture discussions through multi-year growth, ensuring customers fully leverage Replit and become Replit-powered organizations. You will collaborate closely with Account Executives and Account Managers in a high-accountability Pod structure, acting as a proactive, strategic technical leader to anticipate and resolve issues, champion new use cases, and significantly influence annual recurring revenue.

OpenAI

We are seeking a self-starter full-stack engineer to join our fast-moving People Innovation Labs team. This role is ideal for individuals deeply curious about culture, recruiting, and people development, who want to understand and influence everything from business strategy to the code that drives it. You will collaborate with members of the People Team and leaders across the company to build software solutions for HR, culture, and recruiting from the ground up, while also exploring innovative applications of LLMs in these domains.

OpenAI

As a Data Scientist on the Infra team, you will play a key role in shaping how we scale the infrastructure that powers OpenAI’s products and research. This is critical as we operate one of the largest and most advanced compute fleets in the world, supporting millions of users and businesses globally. You will guide the definition of foundational datasets for infrastructure resources, develop metrics that inform key decisions, build forecasting and optimization models, and establish source of truth dashboards and analyses that enable teams to understand and improve infra usage. You will be a core partner to engineering, research, and product teams in shaping the infrastructure that powers everything OpenAI builds.

Baseten is seeking a GPU Kernel Engineer to join our team at the forefront of AI acceleration. In this role, you will craft the foundational code that powers modern AI workloads, optimizing every microsecond of computation to enable breakthrough applications. You will work in a fast-paced, intellectually stimulating environment where technical excellence is paramount and your contributions directly influence production systems serving millions of users across numerous products. This role offers exceptional growth potential for engineers passionate about low-level optimization and high-impact systems work.

OpenAI

As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale. We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one, prepared to ship solutions quickly while maintaining a high standard of quality and security. You will need to bring expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability, and communicate effectively across various teams and functions.

We are an applied AI lab building end-to-end software agents, known for creating Devin, the first AI software engineer. Our team comprises top talent from leading AI companies and competitive programming backgrounds. We are focused on solving significant global challenges and developing AI capable of real-world task reasoning. The Applied AI Transformation Manager will serve as a technically-oriented strategic advisor and operator, ensuring value alignment with customer projects and driving program delivery across key accounts. This role involves identifying strategic opportunities for customers to leverage our platform, ensuring strong value capture and reporting, and designing the operating and delivery models for agentic AI implementation within enterprises. You will act as a trusted advisor to senior leaders, defining value realization targets and managing transformation programs, embedding within strategic accounts to drive strategy and program management, ultimately supporting customers in achieving productivity gains and quantifiable financial impact, and pioneering the playbook for enterprise AI Agent value realization.

Hebbia is seeking an Applied Research Engineer to bridge the gap between research, industry, and application, shaping the future of our core natural language processing systems. This role is pivotal in enabling agentic capabilities across the Hebbia product suite. You will own experiments and proof-of-concepts focused on combining the latest research findings with high-value customer problems. Leveraging deep relationships with foundation model providers, you will partner to beta test models, experiment with new features, and develop guidance on relative model strengths. The ideal candidate excels at both running experiments with novel LLM techniques and building production-grade, LLM-enabled software systems, embedding directly within the software development lifecycle.

$160k - $300k

Hebbia is seeking a Backend Engineer to join the Agent Collaboration Platform team. This team builds interactive tools for AI agents, including a generative spreadsheet that coordinates complex agentic workflows. The role involves blending expertise in systems, application layer software, and data modeling to create highly efficient software solutions. You will integrate product experience with powerful distributed systems and contribute to Hebbia's technical edge through elegant software design and sophisticated integrations. We value engineers who are fast-moving, accountable for quality, and detail-oriented.

$160k - $350k

Hebbia is building the AI platform for investors and bankers that generates alpha and drives upside. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to help manage over $30 trillion in assets globally. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for Matrix and deep, multi-source research, utilizing custom agentic frameworks powered by distributed systems built for scale. We aim to build steerable, reliable, and explainable agentic systems for the scale of data our customers bring to the table, creating a product that becomes indispensable and delightful. A backend engineer at Hebbia blends expertise in systems, application layer software, and data modeling to build highly efficient software solutions. You will be responsible for leveraging the latest software and agentic solutions and integrating product experience with powerful distributed systems. You’ll help protect Hebbia’s technical edge via elegant software design, efficient data communication, and sophisticated integrations. We value engineers who move fast, hold themselves accountable to quality, and are detail-oriented.

$160k - $350k

Hebbia is seeking a Backend Software Engineer to join the Growth and Data team. This role is crucial for building and maintaining the backend systems that power user engagement and the expansion of Hebbia's AI platform for investors and bankers. You will be responsible for architecting and implementing robust APIs, services, and infrastructure to deliver tailored, high-value customer experiences, including personalized data views and powerful integrations. Collaborating with product, design, and frontend teams, you will own core backend features from conception to deployment, ensuring scalability, reliability, and performance. Your contributions will directly impact customer success and drive the adoption and growth of the Hebbia platform.

$160k - $350k

Hebbia is building an AI platform for investors and bankers to generate alpha and drive upside. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis, trusted to help manage over $30 trillion in assets globally. The Document Intelligence team focuses on developing cutting-edge AI solutions for discovering and interacting with billions of documents, enabling intelligent exploration, powerful search, and deep insights extraction. We aim to empower users by transforming vast document repositories into actionable intelligence.

$160k - $350k

OpenAI

On the Accelerators team, you will help OpenAI evaluate and bring up new compute platforms that can support large-scale AI training and inference. Your work will range from prototyping system software on new accelerators to enabling performance optimizations across our AI workloads. You’ll work across the stack, collaborating with both hardware and software aspects, focusing on kernels, sharding strategies, scaling across distributed systems, and performance modeling. You'll help adapt OpenAI's software stack to non-traditional hardware and drive efficiency improvements in core AI workloads, bridging ML algorithms with system performance, especially at scale.

Clay is seeking an Engineering Manager to lead and grow a high-performing engineering team as the company scales through rapid growth. This role involves taking ownership of the team's mission and objectives, ensuring the delivery of high-quality solutions to critical challenges. The manager will foster an engaged, motivated, and collaborative team culture, supporting the professional development of each team member. Collaboration with product, design, support, and other engineering teams will be key to scaling and improving the product, with ample opportunities to tackle interesting problems and technical challenges.

Modal is building the next infrastructure layer for AI, enabling developers to run AI-generated code at scale. Our platform provides instant GPU access, sub-second container starts, and native storage, simplifying the deployment of low-latency inference, model fine-tuning, and production-ready sandboxes. We are seeking our first Developer Relations Engineer focused on Modal Sandboxes to create and distribute unique, educational, and practical technical content. This role is crucial for establishing Modal as a trusted resource for developers implementing new AI technologies and showcasing the power and developer experience of our platform.

OpenAI

We are seeking a researcher focused on embedding retrieval efforts to join our Foundations Research team. This team works on high-risk, high-reward ideas that could shape the future of AI, focusing on advancing the science and data for frontier models. You will collaborate with world-class research scientists and engineers to develop foundational technology enabling models to retrieve and condition on the right information at the right time. This includes designing new embedding training objectives, scalable vector store architectures, and dynamic indexing methods. Your work will support retrieval across many OpenAI products and internal research efforts, with opportunities for scientific publication and deep technical impact.

OpenAI

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI.

Cohere

Cohere is seeking a Member of Technical Staff to focus on post-training of AI models. This role is crucial for advancing the state of the art in model post-training and shipping cutting-edge models to production, bridging the gap between research and practical application. You will have access to significant compute resources and a talented team to contribute to increasing model capabilities and driving customer value. The position offers a unique opportunity to contribute to both production code and research efforts, depending on your interests and organizational needs.

We are seeking an early engineer to join our Physical AI security platform team. This platform is powered by AI agents and supports the development of secure Physical AI and Vehicle Intelligence platforms, spanning the full product lifecycle. You will have significant influence over the direction and implementation of the system. The role involves building agentic security workflows for threat modeling, cyber risk analysis, threat detection, and investigation, as well as developing AI risk engines, intelligent intrusion detection, and security testing simulation engines.

$60k - $300k

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. As an Agent Strategist, you will be responsible for bringing Sierra's AI agents to life for customers, guiding them from initial pilot phases to production-ready agents handling significant volumes of conversations. This role sits at the intersection of product development, agent building, and customer engagement, requiring a deep understanding of both the technology and the user's needs. You will transform complex customer challenges into effective AI agents that deliver measurable business impact.

LlamaIndex is seeking an experienced backend engineer to join their application platform team. This role will focus on building new features and scaling ingestion and AI systems for a rapidly growing company backed by Greylock. You will have significant opportunities for growth and ownership as you contribute to the next phase of the company's expansion, working on innovative AI products that redefine knowledge access and utilization.

Mistral AI

Mistral AI is a company dedicated to democratizing AI through high-performance, open-source models and products. We aim to integrate AI seamlessly into daily life, offering solutions for enterprise needs in both on-premises and cloud environments. Our team is dynamic, collaborative, and passionate about AI's potential to transform society. We are looking for individuals who are creative, team-spirited, and eager to drive innovation in a competitive environment. Join us to shape the future of AI and make a meaningful impact.

Sierra is a leading platform for customer-facing AI agents, partnering with major global brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with growing international offices. Our culture is built on values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing family life. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading tech companies like OpenAI, Salesforce, Facebook, and Google.

OpenAI

The Agent Infrastructure team at OpenAI is building systems to enable the training and deployment of highly useful AI agents. This role involves working closely with research and product teams to scale systems for training agentic models and to build the platform for launching new agents to millions of users. You will contribute to a novel container orchestration platform, develop and maintain APIs for agentic infrastructure, and use Terraform for infrastructure management. The ideal candidate has deep experience in large-scale machine learning infrastructure, a knack for performance optimization, and expertise in virtualization and containerization technologies.

Crusoe is seeking a Staff Product Security Engineer with deep AI/ML security expertise to enhance the company's security posture across applications, infrastructure, and distributed AI systems. This is a highly technical role focused on advanced penetration testing, AI/ML attack surface research, and developing secure-by-design guardrails for engineering teams. The role operates at the intersection of offensive security, AI systems, and production engineering, with end-to-end ownership of security outcomes and influence over system design across the organization.

$250k - $285k

OpenAI

OpenAI's Inference team is expanding into multimodal inference, building the infrastructure needed to serve models that handle image, audio, and other non-text modalities. These workloads are inherently more heterogeneous and experimental, involving diverse model sizes and interactions, more complex input/output formats, and tighter coordination with product and research. We are looking for a software engineer to help us serve OpenAI’s multimodal models at scale. You’ll be part of a small team responsible for building reliable, high-performance infrastructure for serving real-time audio, image, and other MM workloads in production. This work is inherently cross-functional: you’ll collaborate directly with researchers training these models and with product teams defining new modalities of interaction. You'll build and optimize the systems that let users generate speech, understand images, and interact with models in ways far beyond text.

Sierra is building a platform to enable companies to create better, more human customer experiences with AI. We are seeking a Developer Relations Engineer to help onboard and educate customers on our Agent SDK and Agent Studio platform. This role involves leading the creation and execution of developer training programs, building scalable content like documentation and videos, and developing AI Agents as an Agent Software Engineer. You will also collaborate with marketing to publish developer success stories and inspire our technical community. This is an opportunity to become a world-leading expert in agent development and contribute to a growing AI company.