AI Engineer Jobs in San Francisco

Anthropic

As a member of the Applied AI team, you will be an Applied AI Engineer focused on becoming a trusted technical advisor to Enterprise Technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude, advising on architecture design decisions, developing evaluation frameworks, and guiding customers through cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment, combining deep engineering expertise with customer-facing skills to help customers unlock the full potential of the Claude API.

$200k - $320k

Glean is seeking creative engineers to own and launch user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements, and overseeing greenfield features from inception to launch. You will work within a rapidly growing startup, contributing to systems used daily across major platforms like Microsoft Teams and Zoom. The focus is on shipping agentic capabilities on an open, extensible stack, ensuring enterprise-grade trust and making every employee AI-fluent.

$140k - $265k

NVIDIA is seeking a Product Engineer to lead an internal platform that scores, tracks, and reports on open-source readiness across the DSX OS portfolio. This role will evolve the platform from a measurement tool into a core system for all DSX OS projects, ensuring reliability and data quality are paramount. The goal is to automate scoring, integrate self-serve capabilities into onboarding and workshops, and establish a feedback loop with engineering teams to continuously improve the product. This position requires a strong ownership mentality for production systems and a track record of transforming manual processes into automated, reliable solutions.

$168k - $322k

Glean is seeking a Tech Lead for its Admin Console team to engineer a critical product surface that enables customers to deploy, govern, and scale Glean across their organizations. This high-impact, full-stack role involves guiding architecture, collaborating with product and design, and growing a strategically important team. The Admin Console serves as the control plane for enterprise activation, admin confidence, and scalable rollout, allowing admins to configure authentication, data sources, permissions, governance, search settings, AI features, and deployment health from a central hub. As Glean transitions into an AI platform, this team's focus is expanding from data source management to overseeing the broader system context, including actions, live data, governance, and AI configuration.

$200k - $300k

Glean is building a world-class Data Organization composed of product data science, applied science, data engineering, and business intelligence groups. This is an applied science role based in our San Francisco office. You will collaborate with product data science and engineering teams to identify techniques, tooling, and process improvements in online A/B experimentation to assist rigorous decision-making across all relevant product domains. You will develop and maintain our A/B experimentation platform based on stakeholder feedback, and write code or identify vendors to deploy these techniques to production in a scalable manner that’s easy to use by engineering, product data science, product management, and design teams. You will also conduct end-to-end evaluation of various hero use cases like document/URL uploads, including evaluation set generation, coming up with evaluation criteria and methods to interpret the results. You will break down end-to-end evaluations into more granular evaluation of various tasks & skills including but not limited to content summarization/analysis/generation, multi-step reasoning & strategizing, tool selection & use, coding & system design. You will design, develop, and own best practices, tools, and processes across various evaluation problems, e.g., query intent classification, standardizing the use of best statistical principles to handle LLM stochasticity, and industry benchmarking.

$180k - $330k

Glean is seeking a founding Forward Deployed Engineer to join their team and operate with the autonomy and accountability of a founder. This role involves discovering and building Glean's next generation of product surfaces, working in a pod with Forward Deployed PMs directly with the C-suite of influential companies and Glean's engineering and product teams. You will identify the biggest unsolved business problems at strategic customers, build entirely new products to solve them, and in doing so shape the future of Glean. The best of what you build will ship to every Glean customer globally, offering founder-level ownership with Glean's resources and scale.

$160k - $270k

Glean is seeking creative engineers to own and launch delightful user-facing features for its Work AI platform. This role involves developing ideas with product managers and designers, balancing engineering constraints with requirements to deliver intuitive experiences for modern mobile and desktop browsers. You will oversee greenfield features from inception to launch, architecting robust REST APIs and writing efficient, maintainable code. This is an opportunity to shape how the world works by building systems used daily across major platforms and embedding agentic capabilities into an open, extensible stack.

$140k - $265k

Glean is building the horizontal AI platform that powers how employees use AI at work, extending beyond Glean to tools like Copilot, Gemini, and ChatGPT. This team is responsible for the end-to-end platform experience, including standards and tooling for REST APIs, SDKs, client libraries, agent SDKs and integrations, MCP servers, custom context like code and memory, and the supporting infrastructure and documentation. As part of a rapidly growing startup, this role involves working across multiple layers of the stack, from backend services to developer tools and SDKs.

$210k - $300k

Glean is seeking driven engineers to tackle cutting-edge challenges in data and AI security and governance. In this fast-paced startup environment, you will empathize with customer needs, research the domain, and devise novel solutions to complex problems. You will collaborate with product managers and designers to balance engineering constraints with requirements, delivering intuitive and reliable experiences for enterprises to ensure user safety.

$140k - $265k

Anthropic

Anthropic's customer-facing teams are often the first place a customer sees what Claude can do. As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after. This role sits between product engineering, technical storytelling, and GTM execution. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products. Because a demo is frequently someone's first impression of what our models can and can't do, accuracy and honesty matter as much as polish. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions.

$240k - $315k

Amplitude

Amplitude is seeking a Staff Software Engineer to join their Query team, focusing on their in-house OLAP engine, Nova. This role is critical for powering AI agents that will autonomously ship features, run experiments, and make prioritization calls. You will work across the full stack of a modern OLAP system, including query planning and execution, columnar storage, distributed compute, caching, and cloud infrastructure. The goal is to drive significant improvements in performance, cost-efficiency, and reliability at scale, ensuring Nova can handle the increasing demand from non-stop AI agents. This position offers the opportunity to influence technical direction, mentor other engineers, and make a tangible impact on a system that serves thousands of customers.

$198k - $299k

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. As a Senior Software Engineer, Platform, you will be responsible for building features end-to-end, working closely with cross-functional teams including product, design, marketing, and data science to design and develop features. We are looking for software engineers across multiple levels to join our team and help us build innovative web applications and cloud services that deliver the power of generative AI to our customers.

$210k - $240k

Salesforce is seeking a Lead Software Engineer for its new AI Labs business unit, focused on driving large-scale transformation through generative AI and a leading platform for mission-critical workloads. In this role, you will contribute high-quality code to complex problems, touching every phase of the product lifecycle from ideation and prototyping to feature execution and release. You will work closely with talented engineers and AI researchers, collaborating with technical and non-technical colleagues to identify and solve real customer problems. The role involves embedding with demanding customers to understand their challenges and implement solutions, leveraging Salesforce products, open-source technologies, and custom-built tools. We value engineers who can write clean, effective code, learn new languages quickly, and adapt to diverse customer environments to deliver scalable solutions.

$149k - $314k

Bretton AI

Bretton AI is seeking Product Engineers to transform complex customer challenges into elegant technical solutions. In this role, you will take ownership of significant features from their initial conception through to production. You will collaborate directly with customers to deeply understand their requirements, design scalable architectures, and deliver code that demonstrably enhances compliance operations. This position offers a blend of in-depth technical work and substantial customer impact, where you will develop systems processing thousands of cases, significantly reducing time for compliance teams and directly contributing to company revenue.

$200k - $270k

Assort Health

Assort Health is building a continuous conversation for every patient with an AI agent that remembers context and personal preferences. The company aims to transform healthcare administration by creating a more personalized and efficient patient experience. They have a strong growth trajectory, significant funding, and recognition as a leader in healthcare AI.

$115k - $140k

Together AI

This is a unique sourcing role for individuals with a prior engineering background who want to leverage their technical expertise to identify and attract top engineering talent. You will be responsible for proactive outbound sourcing of the top 1% of technical talent in key hubs, evaluating their work, and engaging them through outreach campaigns. The role requires the ability to assess technical skills by reviewing profiles and conducting in-depth technical first calls. You will report to the hiring manager on a small team and have the opportunity to influence the company's technical sourcing and evaluation strategies.

$125k - $190k

Salesforce AI Labs is seeking exceptional emerging AI and computer science talent for a highly selective, 24-month rotational fellowship designed to develop the next generation of AI builders. Fellows will tackle real technical and customer challenges, build with frontier AI technologies, and ship solutions into production at enterprise scale. This program offers hands-on experience across four distinct dimensions of the AI lifecycle: Product Engineering, Product Management, Customer Solution Deployment, and Enterprise Workflow Transformation. The rotational model provides exposure to different AI teams, technologies, and problems, building the technical depth, adaptability, and product mindset needed to become an AI leader. Upon successful completion, Fellows will transition into high-impact AI teams across Salesforce.

$114k - $136k

As a Robotics Software Engineer on the Isaac Applications Team, you will integrate software and hardware to enable Physical AI robots to operate in the real world. You will build working robotic systems and end-to-end workflows for engineers and AI agents, connecting data, simulation, and real-world deployment to continuously expand and improve robot capabilities. We are looking for strong software engineering skills, broad robotics knowledge, and enthusiasm for working hands-on with physical robots when taking ideas into practice. You enjoy understanding how components interact, solving problems across their boundaries, and seeing them come together to deliver new robot capabilities.

$184k - $357k

AI Labs at Salesforce is seeking deeply technical, product-savvy AI architects to evaluate AI technology for potential acquisitions and investments, and to accelerate portfolio companies post-acquisition. These leaders will provide technical depth during M&A diligence and help build common AI capabilities, models, and infrastructure that can be leveraged by acquired companies. The role involves assessing the technical viability of companies, identifying risks and opportunities, and advising on build-vs-buy decisions and the defensibility of underlying technology.

$197k - $365k

Anthropic

As an Applied AI Engineer on the Startups team, you will serve as a trusted technical advisor to leading AI-native startups in the physical world, spanning robotics, semiconductors, aerospace, manufacturing, and civil infrastructure. You will guide these companies from early product stages to scale, helping them integrate Claude into their product design, testing, and operations. This role involves leading deep technical engagements, partnering directly with startup software and hardware engineering teams to build their products on Claude and leverage it for their own engineering processes. You will bridge the gap between Claude's capabilities and the practicalities of building real-world physical systems, working alongside top teams on impactful problems and enabling mechanical, electrical, and process engineers to achieve significant advancements.

$280k - $320k

Anthropic

As an Applied AI Engineer on the Startups team at Anthropic, you will serve as a trusted technical advisor to leading AI-native life sciences and biotech startups, guiding them from early product development to scaling. You will partner directly with startup engineering and scientific teams to help them build products on Claude and integrate it into their research workflows. This role involves bridging the gap between Claude's capabilities and the specific needs of the life sciences, pushing the boundaries of AI in scientific discovery. You will collaborate with Applied AI Architects, Account Executives, and Anthropic's Product, Engineering, and Research teams to enable startups to build at the forefront of AI in life sciences, developing custom evaluation frameworks, scalable architectures, and essential technical resources.

$280k - $320k

FurtherAI is building AI agents to revolutionize the insurance industry, a trillion-dollar market currently reliant on manual processes. We combine frontier agentic AI with deep domain expertise to transform critical industry operations. Having secured over $30 million in funding from top investors and experienced significant growth, we are a deeply technical company where engineers have a substantial impact on product direction. We are seeking an exceptional AI Engineer to lead our efforts in evaluating and continuously enhancing the quality of AI agents across our platform.

$300k - $350k

LangChain is seeking a Fullstack Engineer to join the LangSmith team, focusing on our commercial AI observability and evaluation platform. This role offers the chance to develop new features and functionality, collaborating closely with enterprise customers, developer end-users, and internal stakeholders. You will contribute to a product that is shaping the future of AI agents in the real world, leveraging a strong foundation in open-source tools and a rapidly growing platform.

$145k - $180k

Anthropic

We are seeking an Applied AI Engineer to join our Beneficial Deployments team, with a specific focus on maximizing the impact of Claude within the life sciences sector. The primary objective is to significantly accelerate scientific progress across research and development, from early academic discovery to paradigm-shifting biotech and reimagined pharma pipelines. This role involves working directly with leading research partners, embedding within their scientific workflows, and prototyping AI agents that integrate into real research processes. You will also develop essential ecosystem-level tooling, such as MCP servers, benchmarks, and reusable agent skills, to enhance Claude's utility across the broader life sciences community. This position is part of the foundational Beneficial Deployments applied AI team, dedicated to advancing life sciences towards the technological frontier.

$280k - $320k