Senior AI Engineering Jobs

The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes, specializing in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, and Context Engineering. As a Data Scientist on this team, you will partner with a cross-functional group of experts to deliver Generative AI solutions, leveraging a broad stack of technologies including Python, LangChain, AWS, and Vector Databases to build Multi-Agent systems and advanced RAG pipelines over vast volumes of data. You will be involved in all phases of Generative AI model and pipeline development, from context engineering through fine-tuning, evaluation, validation, and deployment, translating complex work into tangible business goals.

$162k - $185k

We are building the next generation of large-scale reinforcement learning based recommender systems and arbitration engines that will power personalized experiences across marketing, customer servicing, and digital products. This is a high-impact initiative central to our platform, leveraging rich credit and customer behavioral data from tens of millions of customers to deliver intelligent, real-time experiences across our digital experiences, including Mobile, Web, and Email. You will help shape a foundational system that reaches a vast portion of the U.S. population, influencing how millions of people discover, decide, and engage across financial and lifestyle experiences.

$179k - $205k

Capital One is seeking a Sr. Staff AI Engineer to join the Intelligent Foundations and Experiences (IFX) team. This role is central to bringing the company's AI vision to life, working with partners across the organization to advance AI science and engineering. The team builds and deploys proprietary solutions that deliver value to millions of customers by enhancing products with AI in responsible and scalable ways. You will help reimagine how we serve customers and businesses by leveraging emerging AI capabilities and building world-class applied science and engineering teams.

$286k - $327k

Fin, now part of Salesforce, is seeking an Engineering Manager for its AI Models Infrastructure Team. This role is responsible for leading a team of expert engineers who build and operate the foundational infrastructure that empowers the company to train and run its AI models. The ideal candidate will have prior experience in AI and a strong appetite for continuous technical learning, with the ability to manage and grow a high-performing team in a fast-evolving technical domain. This is a highly technical management position focused on enabling AI capabilities and driving innovation.

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Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. As a Managed Services - AI Solution Developer, you will engage with business stakeholders to understand processes, challenges, requirements, and desired outcomes. Within our Assurance practice, you will focus on transitioning and running services, managing delivery teams, and optimizing managed services processes, tools, and services. This role involves translating business needs into structured use cases, solution designs, user stories, acceptance criteria, and success measures. You will design and build AI solutions using Microsoft Copilot, configure agents, and integrate systems using APIs and connectors. Your work will support deployment, documentation, user adoption, and continuous improvement while adhering to security and responsible AI standards.

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As a Forward Deployed Engineer at DevRev, you will collaborate closely with the pre- and post-sales Customer Experience team to develop solutions on the core platform using languages like TypeScript, JavaScript, and Python. A key aspect of this role involves building a Knowledge Graph by integrating DevRev with various SaaS and non-SaaS systems through webhooks, APIs, and real-time communication architectures. You will leverage your creativity and expertise to conceptualize and shape the application of AI, analytics, and workflows within customer processes, with a significant portion of your time spent in direct customer interaction and hands-on technical implementation.

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DevRev is building the future of work with 'Computer,' an AI teammate that unifies data sources, tools, and workflows into a single AI-ready platform. This platform provides real-time insights, proactive suggestions, and agentic actions, extending existing software with AI-native apps and agents. The company focuses on 'Team Intelligence,' fostering human-AI collaboration to break down silos and free up employees for more significant problem-solving. DevRev is backed by significant funding and trusted by global companies. As a Forward Deployed Engineer, you will be a key player in the Customer Experience team, developing solutions on the core platform using languages like TypeScript, JavaScript, and Python. A significant part of this role involves building a Knowledge Graph by integrating DevRev with various SaaS and non-SaaS systems using webhooks, APIs, and real-time communication architectures. You will leverage your creativity and expertise to shape how AI, analytics, and workflows are applied within customer processes.

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At DevRev, we are building the future of work with Computer, an AI teammate that unifies data sources, tools, and workflows into a single AI-ready platform. This platform provides real-time insights, proactive suggestions, and powerful agentic actions, extending existing software with AI-native apps and agents. The company is backed by Khosla Ventures and Mayfield, having raised over $150M, and is trusted by global companies. As a Forward Deployed Engineer, you will work closely with the Customer Experience team, developing solutions on the core platform using languages like TypeScript, JavaScript, and Python. A key function involves building a Knowledge Graph by integrating DevRev with other systems through webhooks, APIs, and real-time communication architectures. You will leverage your creativity and expertise to shape how AI, analytics, and workflows are applied in customer processes.

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Chai Discovery

Chai Discovery is building the computer-aided design suite for molecules, with major pharmaceutical companies already using their platform to accelerate drug discovery. They are at the forefront of reinventing life sciences through AI, developing frontier models that understand biochemical structure and interaction. This role is an opportunity to push the boundaries of AI drug design alongside a skilled and dedicated team.

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Eventual is building data curation for Physical AI, processing petabyte-scale video and sensor data to extract signals about how hands and objects interact, temporal events, and clip reliability for training frontier models. We are a small, well-backed team from leading tech companies, aiming to revolutionize how Physical AI models are trained by providing reliable, curated datasets derived from vast amounts of video footage. This role is based in our SF Mission District office, with a 4-day work week. As Technical Lead, Multimodal Research, you will drive the technical vision for Eventual's understanding of video data. You will own the strategy for selecting, prototyping, and deploying models and representations at scale, ensuring they meet rigorous evaluation standards and cost-efficiency targets. This is a senior individual contributor role focused on setting research direction and making key architectural decisions, while remaining hands-on with research and experimentation.

$150k - $300k

OpenAI

We are seeking a Machine Learning Engineer to spearhead the technical direction for ML-powered experimentation and insights. This role involves building production systems that leverage privacy-protected data to generate evidence-backed insights and inform decision-making, helping teams identify promising ideas for live testing. This is a comprehensive, end-to-end role where you will work across various domains including ML modeling, retrieval and LLM systems, statistical methods, simulation, data and training pipelines, backend services, and user-facing product experiences. The core challenge lies in ensuring that insights and predictions are not only plausible but also traceable, calibrated, useful, and safe enough to guide real product decisions. You will design systems that explicitly address uncertainty, backtest against historical data, compare predictions with online results, learn from discrepancies, and gracefully abstain when evidence is insufficient, all while maintaining clear review and approval processes as automation advances.

$437k - $485k

LangChain is seeking an experienced frontend engineer to develop and enhance new features on LangSmith, their enterprise platform for LLM application observability, testing, and debugging. This role is crucial for building the foundation of agent engineering in the real world, helping developers move from prototypes to production-ready AI agents. The LangSmith team owns and builds the core platform for observability, evaluation, and production reliability of AI systems, from tracing and annotation to run rules and evaluations.

$170k - $235k

Mercor is a leading AI data company that organizes human intelligence to power the AI economy. We build the layer between human expertise and frontier models, enabling millions of domain experts to train AI models at scale. As a Tech Lead for the Applied AI Backend Systems, you will own critical services within our platform, focusing on designing data models, building APIs and services, and developing data pipelines that ensure reliable, fast, and observable operations. This is a hands-on build role where you will take ambiguous problems, make design decisions, ship to production, and mentor other engineers.

$250k - $500k

As a Senior Lead Software Engineer within the Consumer and Community Banking - Digital Technology team, you will be a key member of an agile team focused on enhancing, building, and delivering secure, stable, and scalable technology products. You will leverage your deep technical expertise and problem-solving skills to address a wide range of challenges across multiple technologies and applications, driving significant business impact. This role involves architecting and governing AI-enabled engineering workflows to boost delivery speed, code quality, and operational outcomes, while also influencing leaders and defining enterprise-scale AI-enabled architecture for next-generation customer experiences.

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Innodata is seeking a Research Scientist to focus on the challenging area of video and multimodal AI models. This role involves partnering directly with customers and frontier labs to advance the science behind video understanding, video-language, and video-generation models. You will be instrumental in defining how data is designed, structured, and evaluated for these cutting-edge AI systems, ensuring that the data collected and the evaluations performed drive meaningful progress. Your work will directly influence the direction of research and development in this rapidly evolving field.

$160k - $185k

Databricks

<h1>Staff Software Engineer - Agent Quality</h1> <h4>P-1567</h4> <p>At Databricks, we are obsessed with enabling data teams to solve the world’s toughest problems, from security threat detection to cancer drug development. We do this by building and running the world’s best data and AI platform so our customers can focus on the high-value challenges that are central to their own missions.</p> <p>The Databricks AI Research organization is pushing the frontier of next-generation enterprise AI. We believe a company's data is its greatest competitive advantage, and we're building the models and agents that unlock it. Our work spans the full stack, from model training to advanced multi-agent systems.&nbsp;</p> <p>As a Staff Software Engineer - Agent Quality, you will be a founding member of a new team focused on evaluating and continuously improving Databricks' AI Agents. You will design and scale the infrastructure, tooling, and developer workflows that let researchers and engineers evaluate agents rigorously — driving a flywheel where evaluation results feed directly back into agent improvement across the full lifecycle, from development and training to production.</p> <h2>The impact you will have</h2> <ul> <li>Stand up the foundational evaluation infrastructure for Genie Agents, enabling rigorous benchmarking, regression detection, and quality measurement across research and product teams.</li> <li>Build the flywheel that connects evaluation results back into agent improvement — closing the loop between production signals, training, and iterative development.</li> <li>Shape the long-term technical direction for agent quality infrastructure, with real influence over how Databricks measures and improves its first-party agents and agent development platform.</li> <li>Help shape the long-term technical direction for agent quality infrastructure as Databricks expands its first-party agents and agent development platform.</li> </ul> <h2>What we look for</h2> <ul> <li>6+ years industry experience building software systems</li> <li>Strong Python programming skills, with experience building production or research infrastructure</li> <li>Experience building or operating distributed systems, data pipelines, or large-scale infrastructure with a focus on reliability, correctness, and operational maturity</li> <li>Ability to design pragmatic but rigorous systems that produce trustworthy, reproducible signals for complex applications</li> <li>Comfort working across ambiguous research and product boundaries, and partnering with both researchers and engineers to turn ideas into robust internal platforms</li> <li>A high bar for technical quality, strong ownership, and the ability to influence roadmap and execution across multiple teams</li> </ul> <h2>Nice to have</h2> <ul> <li>Experience with devtools, CI/CD platforms, testing frameworks, observability tooling, or benchmarking infrastructure</li> <li>Familiarity with how LLM or agent quality is measured — whether through evals, experimentation platforms, or production monitoring</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>&nbsp;</p> <p><strong>Pay Range Transparency</strong></p> <p><span style="font-weight: 400; font-size: 14px;">Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.&nbsp; Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page <a href="https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf">here</a>.<br></span></p> <p>&nbsp;</p></div><div class="title">Local Pay Range</div><div class="pay-range"><span>$200,000</span><span class="divider">&mdash;</span><span>$265,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About Databricks</strong></p> <p><span style="font-family: arial, sans-serif;">Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&amp;T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on <a href="https://www.linkedin.com/company/databricks">LinkedIn</a>, <a href="https://x.com/databricks">X</a>, <a href="https://www.youtube.com/@Databricks">YouTube</a>, and <a href="https://www.instagram.com/databricksinc/?hl=en">Instagram</a>.<br><br><strong>Benefits<br><br></strong></span>At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click <a href="https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing">here</a>.<br><br></p> <p><strong>Our Commitment to Diversity and Inclusion</strong></p> <p>At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.</p> <p><strong>Compliance</strong></p> <p><strong><span style="font-weight: 400;">If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.</span></strong></p></div>

$200k - $265k

Anthropic

Anthropic is dedicated to building reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. This role focuses on Multi-Agent systems, which are increasingly vital for AI deployment, from small subagents within products to large groups tackling complex problems. Training Claude for optimal performance and safety in these large groups is a challenging new frontier in reinforcement learning and a new way to scale compute at test time.

$500k - $850k

Typeface

We help the world's biggest brands move from brief to fully personalized campaigns in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing.

$188k - $200k

Assort Health

Assort Health is building a continuous conversation for every patient, powered by an AI agent that remembers context and carries it through their healthcare journey. The company has developed a proprietary dataset of 285 million patient interactions and is experiencing rapid growth, having raised $222 million. As a Research Engineer, you will be responsible for developing industry-leading healthcare AI models and pipelines, taking them from concept to production. You will own significant initiatives to advance the capabilities of AI models and agents in healthcare, ensuring high levels of reliability, efficiency, and precision.

$190k - $240k

The Evaluation Foundations team is seeking a Senior Engineer to develop and improve high-performance tools for evaluating autonomous vehicle models. This role involves working across the technology stack to design, implement, and iterate on evaluation and introspection tools. You will contribute to a system that measures and visualizes AV model performance, helping to shorten the experimental path towards optimal models and enabling teams to understand model behavior more effectively. The work directly influences the safety, reliability, and scalability of next-generation autonomous systems.

$145k - $261k

Innodata is a global data engineering company focused on the intersection of data and Artificial Intelligence (AI). Our mission is to enable the responsible advancement of AI by providing the data, evaluation frameworks, and human expertise needed to build trustworthy AI systems at scale. We offer a range of solutions, platforms, and services for Generative AI builders and adopters, leveraging over 36 years of experience in delivering high-quality data and outstanding customer outcomes. This role focuses on the science behind speech and audio models, addressing challenges in robustness across accents, noise, and code-switching, speaker diarization, speech naturalness, and streaming latency. You will be instrumental in building the data and evaluation designs that drive progress in these areas for customers and frontier labs. Your work will involve critical judgment on benchmark coverage, transcription conventions, and the appropriate use of automated versus human evaluation metrics. You will collaborate closely with our transcription and linguistics lead to ensure our data standards directly influence model learning.

$160k - $185k

Tenstorrent is at the forefront of AI technology, aiming to revolutionize performance, usability, and cost-efficiency. As AI reshapes computing, our solutions must integrate software models, compilers, platforms, networking, and semiconductors. We have developed a high-performance RISC-V CPU and are seeking passionate individuals to build the ultimate AI platform. Our Tensix Team is architecting the future of AI compute with scalable RISC-V processors, focusing on reimagining RISC-V core frontends for enhanced programmability, efficiency, and developer experience. This is a unique opportunity to influence the CPU architecture at the core of our AI platform and lead a critical technical initiative.

Salary not listed

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Public Cloud Platform Engineer at JPMorgan Chase within the Global Technology team, you will be guiding application teams on moving to public cloud, supporting with maintaining, and resolving production incidents that impact our customers, clients, and businesses around the globe. You will drive, support, and deliver on a strategy to operate and build broad use of Amazon's utility computing web services, identify opportunities to improve resiliency, availability, security, and high-performing platforms in Public Cloud using JPMC best practices, and improve reliability, quality, and reduce time to resolve issues in production incidents on software applications.

Salary not listed

Typeface

We help the world’s biggest brands move from brief to fully personalized campaigns — in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we’re building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. We are looking for strong full-stack engineers across multiple levels to join our team and help us build innovative and elegant web applications and cloud services that deliver the power of Generative AI to our customers.

$210k - $240k