Builds the core agent platform systems, including orchestration, runtime, retrieval and grounding, and evaluation infrastructure. Work includes designing the agentic loop, improving agent answer accuracy, and building feedback loops to measure agent quality. Familiarity with Go and TypeScript is listed as nice to have.
Who We Are
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.
Role Overview
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.
Compensation: $200K - $325K