AI Agent Engineer Jobs in San Francisco

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to revolutionize customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders, Bret Taylor and Clay Bavor, bring extensive experience from leading technology companies like Salesforce, Facebook, and Google, with Bret currently serving as Board Chair of OpenAI.

$230k - $390k

Scale AI

As a Senior Staff Frontier Agents Engineer, you will be the technical bridge between Scale AI's advanced AI capabilities and our most strategic enterprise customers. This role involves understanding customer challenges, architecting custom AI solutions, and ensuring successful deployment and adoption of AI systems in production. You will work hands-on with customer engineering teams to integrate AI into their critical workflows, combining deep engineering expertise with customer-facing problem-solving.

$288k - $360k

Sierra

Sierra is a leading platform for customer-facing AI agents, partnering with major brands to revolutionize customer service and business growth. We are primarily an in-person company based in San Francisco, with a culture guided by values of Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family. Our co-founders bring extensive experience from leading tech companies like Salesforce, Facebook, and Google, with one co-founder currently serving as Board Chair of OpenAI.

$230k - $390k

Scale AI

Scale AI is seeking a Senior Frontier Agents Engineer to work directly with strategic enterprise customers. In this role, you will architect, integrate, deploy, and operate production AI systems, combining modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies. You will design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape engineering best practices for enterprise AI. This position is ideal for individuals who enjoy solving complex systems problems, rapidly prototyping new AI capabilities, and bringing frontier AI into production.

$216k - $270k

Scale AI

Scale AI is seeking a Frontier Agent Engineer (Forward Deployed Engineering) to work directly with strategic enterprise customers. In this role, you will architect, integrate, deploy, and operate production AI systems, combining modern software engineering, distributed systems, cloud infrastructure, and frontier AI technologies. You will design production agent architectures, integrate with customer systems, deploy AI into mission-critical workflows, and help shape best practices for enterprise AI. This role is ideal for individuals who enjoy solving complex systems problems, rapidly prototyping AI capabilities, and bringing frontier AI into production.

$180k - $225k

Scale AI

Scale AI is seeking a Senior/Staff Machine Learning Engineer to join the General Agents team, focusing on building robust, production-ready AI agents for enterprise use cases. This role involves working across the entire agent lifecycle, from design and development to evaluation, deployment, and iteration. You will translate cutting-edge agentic techniques into reliable systems that solve high-impact business problems, emphasizing generalization, extensibility, and deployment across multiple customers. The team operates at the intersection of frontier agent development and real-world application, aiming to deliver significant economic value through scalable agent systems.

$290k - $363k

Scale AI

Scale Labs is launching a new team focused on policy research to bridge the gap between AI research and global policymakers, enabling informed, scientific decisions about AI risks and capabilities. This team tackles fundamental challenges in agent robustness, AI control protocols, and AI risk evaluations to help governments, industry, and the public understand and mitigate AI risk while maximizing AI adoption. The role involves collaborating broadly across industry, the public sector, and academia, and regularly publishing findings to shape the future of AI safety and alignment.

$216k - $270k

The Agentic Runtime team builds the low-latency, reliable, and secure foundation that powers Glean’s AI agents and assistant experiences at scale. You’ll design and operate core runtime services for multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. You’ll work across distributed systems, production observability, and ML infra integrations to deliver an experience that feels instant, accurate, and trustworthy — while optimizing cost and reliability.

$180k - $210k

Salesforce is seeking a Software Engineering, AI Systems professional to join Salesforce AI Labs. This role involves building a product that learns from human demonstrations to automate complex workflows across enterprise applications. You will tackle challenging engineering problems related to agent dependability, reasoning, and error recovery. The position offers the opportunity to work directly with customers, own substantial systems from design to deployment, and contribute to taking a new offering from early adoption to general availability, supported by Salesforce's scale.

$149k - $224k

OpenAI

The Agent Post-Training team at OpenAI is responsible for developing the frontier agents that are shipped to users. This involves training models for products like Codex and ChatGPT, focusing on creating persistent, proactive intelligence that can operate computers, collaborate with humans and other agents, and expand user capabilities. The team defines the next generation of agent abilities, builds the training signals, and runs experiments to realize these advancements. The role specifically focuses on teaching models to operate computers, including navigating browsers and desktops, using tools, reasoning through complex workflows, and completing long-horizon tasks reliably. This position is at the intersection of frontier model training, product behavior, evaluation, and systems engineering, directly influencing the computer-use capabilities of OpenAI's future agents.

$380k - $500k

Browserbase

Browserbase is seeking a Software Engineer to join the Agent Platform team. This team operates at the intersection of AI and open source, building developer tools that make browser automation smarter, simpler, and more powerful. You will be responsible for building, operating, and growing the Agent Platform framework, which includes developer-first APIs with significant monthly downloads and stars. The role involves designing and implementing tools for web automation, collaborating with leading AI labs to improve models and make them accessible, and deploying production-ready AI solutions that impact millions of users. You will also help define and prioritize projects that shape the future of developer tooling and contribute to documentation and knowledge sharing.

$180k - $300k

Perplexity AI

The Enterprise Agent Evals & Efficiency team at Perplexity focuses on enhancing the capabilities of AI agents to perform real-world tasks across various enterprise connectors, tools, and data sources. The primary objective is to enable agents to select the appropriate tools, utilize relevant context, and execute complex workflows reliably, while minimizing time and computational resources. This role involves end-to-end ownership, from developing realistic enterprise evaluation environments to implementing improvements in the agent harness, tools, and skills. You will create intricate scenarios involving connected systems, data, and permissions to pinpoint agent weaknesses and refine the tools, skills, context, and models they employ. Collaborating with AI Research, Connectors, and Platform teams, you will translate experimental findings into tangible improvements in task success rates, latency, and cost efficiency.

$220k - $405k

Crusoe

We are seeking a Senior Enterprise AI Automation Engineer to play a key role in executing Crusoe's 2026 Enterprise AI Strategy. In this role, you will design and build agentic AI systems that move the organization from simple information retrieval to orchestrated, multi-system automation. You'll operate at the intersection of AI, enterprise systems, and integration platforms—building scalable agent workflows, enabling a citizen developer ecosystem, and establishing the technical foundations for an AI-powered operating model.

$145k - $170k

Decagon

Decagon is a leading conversational AI platform that empowers brands to deliver exceptional customer experiences through AI agents. Our technology enables enterprises to deploy personalized and satisfying interactions across various channels. We are building a future where customer experiences are redefined, moving beyond traditional support to foster faster resolutions, richer conversations, and deeper relationships. The Product Engineering team at Decagon is responsible for building the platform that allows customers to create, operate, and enhance their AI agents, transforming complex engineering tasks into user-friendly product features. This team is crucial for scaling Decagon's impact, with the frameworks they build supporting every agent in production, ensuring reliability and robustness across diverse workflows and constraints. They also build agents directly, using production failures as opportunities to create guardrails, evaluations, and tooling that improve the platform universally.

$200k - $400k

Pallet is building AI Agents to transform the physical economy, a $12 trillion global industry. We are seeking a Software Engineer, Agent Delivery to deploy production AI agents within large supply chain companies. This role involves working directly with customer teams to understand critical workflows, design integrations, debug production systems, and implement AI-powered solutions in complex environments. You will own deployments from discovery to launch, acting at the intersection of engineering, product, and customer operations, and will spend time with customers both remotely and onsite.

$135k - $180k

Decagon

Decagon is seeking a Senior Software Engineer to join the Product Engineering team. This team is responsible for building the core platform that enables customers to create, operate, and improve their AI agents. You will design and build systems that allow customers to configure, train, test, and monitor sophisticated AI agents with confidence, translating complex technical capabilities into simple, usable interfaces. You will own features end-to-end, from technical architecture through deployment and iteration, working closely with product and design to understand customer use cases and ensure the right solutions are built. This role involves building self-serve functionality, designing configuration abstractions, creating AI-powered tooling for agent workflows, and developing monitoring and analytics for agent performance.

$200k - $400k

Our Internal Acceleration team is seeking a Research Engineer to build agents that accelerate the production of frontier tokens. You will collaborate directly with founders and embed with the production team to develop new agentic harnesses and operating systems, transforming hardware development in an AI-native world. This role involves working on harnesses, tool use, context, memory, execution environments, and evaluation frameworks to enable agents to perform long-running, useful engineering tasks. We are looking for individuals who thrive in ambiguous environments, possess strong product sense, and are eager to own problems end-to-end, viewing this as an opportunity to shape future ventures. The work is time-sensitive and business-critical, demanding dedication beyond a standard 9-5 schedule.

$150k - $400k

Salesforce is seeking a technical leader for its AI Core team to build durable, high-quality systems that address complex AI challenges. This role involves developing retrieval systems and agent infrastructure, enabling AI agents to effectively find, trust, and utilize knowledge. You will also create developer tooling to help engineers across the company rapidly and safely deploy production agents. The position offers end-to-end ownership, from scoping and implementation to deployment and iterative improvement, within a high-ownership, high-velocity environment focused on AI and product development.

$173k - $260k

Our Internal Acceleration team is building agents to speed up the production of frontier tokens. You will collaborate directly with founders and embed with our special projects team to develop new agentic harnesses and operating systems, fundamentally changing how hardware is built in an AI-native world. Your success will be measured by the acceleration of Etched's progress, not just lines of code. This role is ideal for engineers who excel in ambiguous environments, possess strong product intuition, and are eager to own problems from inception to completion. It's a dynamic, time-sensitive, and business-critical position that requires dedication beyond a standard 9-5.

$150k - $400k

Salesforce is seeking a Software Engineering SMTS for the Brain Team, focusing on the intelligence layer behind their AI CRM product, Piper. This role involves building, maintaining, and upgrading AI agents that qualify leads and book meetings. You will work on system prompts, model configuration, context layers, evaluations, and the underlying harness that powers Piper. The position offers a high-ownership, high-velocity environment where engineers ship customer-facing AI products at scale, with end-to-end ownership from idea to production. You will collaborate with product and AI platform teams to develop features, enhance customer experiences, and build evaluation systems to ensure agent performance and business outcomes.

$149k - $224k

Our Internal Acceleration team is building agents to accelerate the production of frontier tokens. You will work directly with founders and embed with our production team to create new agentic harnesses and operating systems, transforming hardware development in an AI-native world. Success is measured by how much faster the company moves, not just lines of code. This role is for engineers who thrive on ambiguity, possess strong product sense, and want to own problems end-to-end, acting as a launchpad for future founders. The problems are time-sensitive and business-critical, and the role demands dedication beyond a typical 9-5.

$150k - $400k

Distyl AI

Distyl AI is an applied AI technology company that partners with ambitious institutions to rearchitect critical operations for the frontier of AI. We research and deploy technologies that power AI-native operations, spanning research into self-constructing systems, the development of reliable AI system execution, and products that transform mission-critical workflows. We are seeking an Infrastructure Engineer to own how Distyl engineers build, test, secure, and release software across multiple cloud environments (AWS, Azure, GCP) and diverse customer constraints. This hands-on role involves building shared delivery systems and coding-agent workflows to ensure reliable releases, actionable failure insights, and increased engineer productivity, ultimately shaping how all Distyl engineers ship code.

$200k - $250k

Chai Discovery

Chai Discovery is building the computer-aided design suite for molecules, used by major pharmaceutical companies to power drug discovery programs. AI is revolutionizing life sciences, and our team is at the forefront of this transformation. We train frontier models that understand the fundamental principles of biochemical structure and interaction, coupled with a computational workspace that enables scientists to iterate on molecules from concept to medicine. This accelerates the development of novel therapeutics. This role focuses on building the AI platform that empowers scientists to direct research programs using agents. As Chai's models advance, scientists will increasingly focus on core scientific problems and hypotheses, delegating subtasks to intelligent agents. This requires creating innovative abstractions that facilitate seamless collaboration between people, agents, and Chai's foundation models.

Salary not listed

Simple AI

Simple AI is seeking an AI Agent Engineer to join their growing team and help build state-of-the-art voice AI agents for enterprise clients. This role involves working directly with customers to transform Simple's voice AI platform into production-ready agents tailored to each business's unique needs. You will engage in both pre-sales and post-sales activities, including creating custom demos, understanding customer workflows, deploying agents, debugging complex issues, enhancing performance, and translating customer feedback into product enhancements. This is a highly technical and customer-facing position for individuals who enjoy coding, interacting with clients, working at a fast pace, and seeing the direct business impact of their work.

$120k - $200k