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San Francisco, California, United States
Onsite
Serval is the AI-native enterprise service management platform that automates the work legacy IT service management tools only track. Our AI agents build the automations that power employee support, then resolve requests against them instantly—helping teams across IT, HR, finance, legal, and beyond automate work within one governed platform.
Companies including Fox, Live Nation, Notion, Ramp, and Lucid Motors run on Serval. Headquartered in San Francisco, we’ve raised $277 million from investors including Sequoia Capital, Redpoint Ventures, First Round, General Catalyst, and Elad Gil, most recently a $150 million Series C at a $3 billion valuation.
We’re building a team that moves quickly, takes ownership, and wants to make a meaningful impact on how the world’s largest organizations work. Come help us build what’s next for enterprise service management.
As a Software Engineer, Agent Systems at Serval, you’ll build the core systems that power the AI agents at the center of our platform.
You’ll work on the orchestration engine, runtime, retrieval and grounding systems, and evaluation infrastructure that enable agents to reason, take action, and operate reliably in real-world enterprise environments.
Your work will help define how Serval agents behave across help desk, automation, and knowledge workflows — and the systems you build will power experiences used by a significant share of employees at some of the world’s largest companies.
Build end-to-end agent based product functionality.
Build the foundational systems behind Serval’s agent platform, including orchestration, runtime, and core primitives for how agents reason, act, and interact with users and systems.
Design and evolve the agentic loop, helping define the abstractions needed to make agents steerable, trustworthy, adaptive, and production-ready.
Improve retrieval and grounding systems so agents can provide accurate, well-supported answers and actions using the right organizational context.
Build evaluation frameworks and feedback loops that help us measure, debug, and continuously improve agent quality over time.
Partner closely with product to bring new agent capabilities into customer-facing workflows and product experiences.
Help establish technical standards and best practices for building reliable, high-performance agent systems at Serval.
Strong software engineering fundamentals and experience building production-grade systems.
Experience building AI-powered systems, agent frameworks, or LLM-based applications in production.
4+ years of hands-on experience building software products and systems in production environments.
Experience designing systems from first principles, with an eye toward reliability, scalability, and maintainability.
Excitement about building at the frontier of AI products, with a strong point of view on what makes agents useful in the real world.
High agency and comfort operating in a fast-moving, high-autonomy startup environment.
Strong communication skills and the ability to work cross-functionally.
Degree in Computer Science or a related technical field, or equivalent professional experience.
Experience with retrieval systems, grounding strategies, evaluation infrastructure, or other components of modern agent architectures.
Familiarity with technologies in our stack, including Go and TypeScript.
Early-stage startup experience or a track record of zero-to-one product development.
Impact: Be a key player in shaping the success of our product and company.
Growth: Build a fundamentally new AI product offering with the support of our experienced team and investors. Grow rapidly with the company.
Culture: Join a culture that values innovation, ownership, accountability, and fun.
