AI Engineer Jobs in San Francisco

Faire is a technology wholesale platform connecting independent retailers with global entrepreneurs. We leverage tech, data, and machine learning to empower local businesses. The Applied AI/ML Science team builds and maintains models that power the marketplace, including shipping and delivery estimates. This role focuses on developing models that understand products from images and text to improve predictions and enhance retailer confidence, ultimately helping brands sell more on Faire.

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OpenAI

The ChatGPT Learning team is building the next generation of learning experiences within ChatGPT, aiming to support sustained learning and progress beyond individual questions. This role involves leading the design and development of products that leverage AI to make powerful learning tools more accessible, helping millions of users understand the world, develop skills, and pursue their goals. The work combines product engineering, design, AI research, and education to serve learners globally. As a Principal Software Engineer, you will be hands-on across the full stack, building polished interfaces and scalable backend services, and driving product and design decisions with cross-functional partners to translate ambiguous opportunities into clear direction and successful product launches.

$459k - $536k

Salesforce is seeking a Software Engineering SMTS to join their Product Core team. This team builds foundational product systems for prospect identification, meeting scheduling, data synchronization, workflow execution, and enterprise authentication. They also enable customers and partners to extend the product through APIs and webhooks. The role involves building the data, context, and execution capabilities behind agentic product experiences, such as meeting preparation and routing investigation. As a technical leader, you will drive complex initiatives from design to production, shape architecture, write production code, and influence technical direction.

$149k - $224k

Glean is seeking a Tech Lead Manager of AI Evaluations to lead a team of applied AI scientists and engineers. This role is crucial for developing the evaluation strategy and platform that ensures Glean ships reliable and delightful AI experiences. You will integrate evaluation into the development and operation of models, harnesses, assistants, and agents. The position involves translating AI/ML research into robust evaluation systems, building scalable infrastructure for evaluations, and collaborating with R&D, product, and marketing teams to improve products based on evaluation outcomes.

$250k - $350k

Athelas

Commure is building the AI Operating System for healthcare, transforming administrative burdens in care delivery, documentation, and financing. Our platform features Ambient AI for documentation, intelligent Agents for workflows, and autonomous RCM processing claims, all integrated with numerous EHRs. We are at the forefront of revolutionizing healthcare's $1 trillion administrative burden, with a recent $70M raise at a $7B valuation and recognition from Fortune and AI Breakthrough Awards. Our team works directly with clinicians, offering immediate impact and a fast-paced, ownership-driven environment for those tackling complex, high-stakes problems.

$180k - $230k

Cerebras

Cerebras Systems is seeking a Senior Fullstack Engineer to take ownership of and scale critical components of the Cerebras Developer Console. This role involves building high-quality frontend systems using Next.js and TypeScript, and designing backend services with GraphQL, Postgres, and Redis to manage usage tracking, billing, quotas, and observability. The systems will operate at high scale, requiring careful data modeling and balancing real-time and batch processing. The ideal candidate will make strong architectural decisions, drive projects from conception to production, and take end-to-end responsibility for major platform areas like billing and request logs. This is a deeply technical, end-to-end role focused on impacting customer experience and revenue.

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Scale AI

Scale AI is seeking a Staff Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms, healthcare copilots, or autonomous workflows for Fortune 100 companies. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, this role is for you.

$265k - $331k

Sierra

Sierra is seeking a Software Engineer to join our full-stack data team, focused on enhancing the intelligence of AI agents. You will build real-time pipelines, analytics products, and personalization systems that leverage millions of conversations to drive business outcomes. This role involves architecting and developing our core data platform for low-latency, large-scale data processing, including real-time eventing, ETL pipelines, and a data lakehouse. You will also develop systems for long-term agent memory, customer data platforms, and optimization loops to personalize agent interactions and improve business results. The ideal candidate is passionate about AI products and thrives in a high-autonomy environment.

$230k - $390k

The bottleneck in building reliable, useful AI is no longer writing code, but defining and measuring what good looks like. This role focuses on data and evaluation science for Glean's AI products, building evalsets, agentic LLM-judges, and benchmarks that capture quality. You will develop the platform and infrastructure to run these evaluations reliably at scale, and create enterprise simulation environments to test assistant and agent performance. Starting from real production usage, you will translate learnings into evaluations that guide improvements across the entire stack, from agent harnesses to tool use, skill iteration, model routing, and post-training of task-specific models. You will also bring new research into production and collaborate with R&D, product, and GTM teams to translate evaluation findings into better products and customer outcomes.

$200k - $280k

Scale AI

Scale is seeking a New Grad Software Engineer for its Public Sector team. This role involves building core product systems to ingest and process federal datasets, supporting real-time decision-making in critical environments. You will own mission-facing work from day one, shipping features, interacting directly with government stakeholders, and iterating rapidly. The position offers the opportunity to work on impactful projects, from developing AI agent guardrails and RAG pipelines to creating data visualization tools and deploying applications in secure government environments.

$124k - $162k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to transform customer service and business growth. We are primarily an in-person company based in San Francisco, with expanding offices globally. Our culture is built on values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. The company was co-founded by Bret Taylor, former co-CEO of Salesforce and CTO of Facebook, and Clay Bavor, who spent 18 years at Google leading initiatives like Google Labs, AR/VR, and Google Lens.

$230k - $390k

Scale AI

Scale is seeking New Grad Software Engineers to join their mission of developing reliable AI systems. In this role, you will own meaningful, customer-facing work from day one, shipping products, interacting directly with customers, and iterating quickly. You will contribute to building and deploying AI applications that deliver real impact for enterprises and governments.

$124k - $162k

Sierra

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. What you’ll do - Reporting & Experimentation: Build a system for analyzing and visualizing millions of data points about agent performance. Enable agent developers to run A/B test their agents to make data-driven decisions about agent behavior. - Data Exploration: Build Explorer, the equivalent of ChatGPT + AI-powered clustering over conversational data. - Monitoring: Build systems for proactively monitoring agents for defects or new patterns. What you'll bring - A passion for being on the frontier of AI products. - Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact. - Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity. - 4+ years hands-on experience building production products and systems. - Experience and comfort to build and ship full-stack solutions. - Degree in Computer Science or related field, or equivalent professional experience. Even better... - Experience building AI-powered products. - A sharp eye for design. - Experience with Go and Typescript. - Experience building developer tooling, programming languages, or databases. - Leadership experience on technical projects or teams. Our values - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. What we offer We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. Be you, with us We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

$230k - $390k

Scale AI

Scale's internship program offers a unique opportunity for students to contribute to real, impactful projects alongside full-time engineers. Interns will work on the same roadmaps as experienced professionals, receiving mentorship from world-class talent in a culture that emphasizes ownership, speed, and truth-seeking. Many interns find this experience so valuable that they return as full-time employees.

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Scale AI

Scale GP is building a new AI Enablement team to create the next generation of agent-powered tools that ground AI in real operational workflows. The goal is to help internal teams demystify their own workflows, then deploy agentic systems that reason over data, take action, and deliver measurable outcomes. This is a 0→1 team looking for a sharp, product-minded engineer who thrives in ambiguity, moves fast, and loves building systems from scratch. You'll work closely with product, forward-deployed engineers, data scientists, and applied AI teams to turn real-world problems into scalable production solutions, shipping fast, owning outcomes, and working across the stack from frontends to distributed backends to LLM integrations.

$180k - $225k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to bridge the gap between cutting-edge AI research and production deployment. In this role, you will work directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will tackle a diverse portfolio of AI challenges across multiple industries and use cases, potentially building multi-agent research systems or designing customer intelligence platforms and healthcare copilots. If you enjoy experimenting with the latest models and shipping production systems that create measurable business impact, this role is for you.

$216k - $270k

Scale AI

Scale AI is seeking a Frontier Agents Engineer (Applied AI) to bridge the gap between cutting-edge AI research and production deployment. In this role, you will partner directly with enterprise customers to design, evaluate, and deploy intelligent systems that combine frontier models with structured knowledge, retrieval, traditional machine learning, and enterprise software. Unlike traditional ML roles, you will work across a diverse portfolio of AI challenges spanning multiple industries and use cases, building systems that automate complex workflows, help humans, reason over enterprise knowledge, and operate safely at scale. If you enjoy reading new AI papers, experimenting with the latest models, and shipping production systems that create measurable business impact, you'll fit right in.

$180k - $225k

Scale AI

Scale is seeking an Engineering Manager for its Customer Platform team, focusing on GenAI. This role is pivotal in integrating our platform with external systems, ensuring seamless and reliable connectivity for both internal users and customers. You will drive the strategy, architecture, and development of our connectivity solutions, with a focus on API integration, distributed systems, and a robust data platform. Your leadership will be crucial in maintaining and enhancing our platform's ability to meet the diverse needs of our stakeholders.

$216k - $270k

Scale AI

Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform that provides APIs for knowledge retrieval, inference, evaluation, and more. We are looking for a strong engineer to join our team and help us build and scale our product in a fast-paced environment. The ideal candidate will have a strong understanding of software engineering principles and practices, as well as experience with large-scale distributed systems. You will be responsible for owning large new areas within our product, working across backend, frontend, and interacting with LLMs and ML models. You will solve hard engineering problems in scalability and reliability.

$252k - $315k

Lila Sciences is building the infrastructure for autonomous science, creating AI systems that design and execute experiments across life sciences, chemistry, and materials science. The platform is designed for reliability and scale, serving external customers who require security, auditability, and operational rigor. This Principal Engineer role will focus on building foundational enterprise systems to prepare Lila for large pharmaceutical and research organizations. The work involves driving core enterprise capabilities like multi-tenancy, identity management, permissions, audit infrastructure, and billing. A key aspect will be pushing the frontier by building agentic AI-powered systems for self-service tenant management, customer observability, automated compliance, and AI-native external APIs for programmatic interaction. This is a deeply technical, high-autonomy, individual contributor role focused on defining and building correct, secure, and scalable platform infrastructure, with a fast-paced, weekly shipping cadence.

$204k - $310k

Anthropic

Anthropic's Safeguards team is looking for a Red Team Engineer to ensure the safety of their AI systems and products. This role involves taking an adversarial approach to find vulnerabilities before malicious actors can exploit them. The work covers technical infrastructure weaknesses and emergent risks from advanced AI capabilities, focusing on broader safety implications and novel abuses unique to AI systems. You will simulate sophisticated threat actors, investigate potential abuse like account manipulation and payment fraud, and chain multiple attack vectors to achieve objectives.

$320k - $405k

Reflection ai

Reflection's Data team is responsible for building the training corpora that our frontier models learn from. The ingestion layer is the critical machinery that transforms raw data from the open web, licensed sources, and other large-scale origins into well-structured, versioned, and auditable datasets for pre-training. As the Data Ingestion Lead, you will provide front-line leadership for the team responsible for this layer, overseeing web crawl, data ingestion pipelines, and data lakes. You will build, mentor, and grow a team of data ingestion engineers, guide technical and architectural decisions across crawling, extraction, and corpus storage/delivery, and collaborate closely with research, data quality, and data partnerships teams. You will also remain hands-on to contribute technically and maintain a deep understanding of the team's work, as subtle decisions at the ingestion layer significantly impact model performance, safety, and failure points.

Salary not listed

Imbue is an AI company building a suite of open-source tools to make technology serve humans. We are creating a future where individuals own personal teams of AI agents that can be modified to their specific needs. Our projects include Studio, a custom digital HQ for building personalized software; Bouncer, a social media feed filter; and Sculptor, an interface for programmers to run coding agents in parallel. We are seeking a Product Engineer to shape our product and build 0-1 features, contributing to the overall product direction. This role involves building across the entire stack, understanding customer needs, and contributing to the product roadmap, making it ideal for individuals with founder aspirations.

$170k - $350k

Harvey is transforming legal and professional services by combining frontier agentic AI with an enterprise-grade platform. As we scale rapidly and take on increasingly complex use cases, we are expanding our engineering team to accelerate our ability to ship fast, delight users, and build infrastructure that scales with us. As an Engineering Manager for AI Platform, you will lead and scale a team of engineers building the foundational systems that power AI across Harvey. This includes model access and routing, agent and workflow orchestration, evaluation frameworks, tool and context infrastructure, and the observability needed to run LLM-powered products reliably at scale. You will partner with Product, Research, and product engineering teams to turn fast-moving advances in applied AI into durable, reusable platform capabilities and set the technical direction for how teams across Harvey build, test, and ship AI features. This role requires both technical depth and product intuition, with a focus on making fast, high-quality decisions, working at the cutting edge of applied AI, and growing a team that embodies engineering excellence.

$272k - $355k