Senior Agent Software Engineer
$200,000–$300,000 year
On-siteSan Francisco, California, United States
Job Summary
Build core systems for agentic workflows including planning, tool use, context management, task execution, memory, feedback, and recovery. Design reliable infrastructure for agents to invoke tools, edit files, run commands, call APIs, and complete multi-step tasks. Improve agent quality through evals, benchmarks, traces, user feedback, and production debugging. Build model-agnostic systems for routing, inference, caching, streaming, and cost/performance optimization across closed and open-weight models. Partner with product, design, research, and open-source contributors to ship useful agent capabilities quickly. Own major technical initiatives from architecture through launch, monitoring, and iteration.
Required Qualifications
- 5+ years of software engineering experience
- meaningful tech lead, staff-level, or engineering management experience
- Strong product engineering background
- experience building polished user-facing features across frontend and backend systems
- Experience with TypeScript/Node.js, Python, Go, Rust, or similar production languages
- Familiarity with LLM patterns: tool calling, context management, evals, retrieval, model routing, tracing, and cost/performance trade-offs
- Direct experience using AI coding assistants and/or building agent systems
- Able to rapidly prototype new agent use cases and turn the best ones into production-quality systems
- Strong judgment about where agents are useful, where humans are better, and how to combine both
Desired Qualifications
- Experience with open-weight models, local inference, model providers, or model routing systems
- Experience building agents, SDKs, CLIs, developer tools, automation systems, or open-source infrastructure
- Familiarity with sandboxed execution, MCP, language servers, AST tooling, Git internals, CI/CD
- Open-source contributions or experience working with developer communities
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