Userpilot
Software Engineer - Agentic Platform
Austin, Texas
No sponsorshipDetected 29 days ago
JavaScriptTypeScriptPythonElixirReactFastAPIFull-Stack DevelopmentVector DatabasesRESTKafkaWebSocketsOpenAPILLMsRAGLLMOpsLangGraphStatisticsPRDsAccountingLeadership
About the role
- This is an AI-deep role focused on Lia, Userpilot's agent platform, the system that turns a rich product-data model into reliable, grounded, multi-turn AI experiences.
- You'll contribute to architecture, raise the reliability and eval bar, and help define where a frontier agentic system goes.
- The agent runtime and orchestration itself: complex, multi-step agentic workflows, behind framework-neutral domain contracts that keep business logic portable.
Responsibilities
- Design, build, and operate the agent platform end to end, from the API surface through the runtime, tools, retrieval, persistence, and observability.
- Work in a spec-driven, agent-assisted flow, reading and contributing to PRDs that drive both human and AI implementation.
- Contribute to the team's agentic infrastructure (AGENTS.md, CLAUDE.md, DESIGN.md, slash commands, architectural rules) so AI tooling understands our codebase as well as the humans do.
- Raise the bar around you: set the patterns, write the specs and evals others build on, and level up the engineers (and agents) working in the platform.
- 3+ years building and shipping production software, with a track record of owning systems (not just features) and raising the quality bar for the people around you.
- you use AI coding agents (Claude Code, Cursor) as a real part of how you build, prompting for scaffolding, reviewing output critically, and knowing when to push back.
Requirements
- Judgment about when to use an LLM and when not to: you reach for deterministic logic, retrieval, or statistics when they're more reliable, cheaper, or more reproducible, and you can tell which is which.
- You care about the user experience and about system correctness in equal measure.
- Experience with agent frameworks or orchestration: Microsoft Agent Framework, LangGraph, AutoGen, or a runtime you built yourself.
- Build LLM/agent features that ground reliably in customer data, with the streaming, retries, evals, and graceful degradation required to hold them to a production reliability bar.
Nice to have
- RAG (vector + lexical) over tool catalogs assembled from multiple sources (OpenAPI specs, MCP, …), so the agent calls the right operation with the right arguments against live customer data.
- Packaged AI workflows that produce durable, editable, actionable outputs, not just chat answers that get lost in history.
Skills
- complex, multi-step agentic workflows, behind framework-neutral domain contracts that keep business logic portable.
- an MCP server that exposes Userpilot's tools to external AI agents.
- Agent interoperability: an MCP server that exposes Userpilot's tools to external AI agents.
Company info
- What We're Looking For
Visa & Work Authorization
- Visa/Work Authorization
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This listing is sourced directly from Userpilot's careers page and normalized into a canonical job model.