3 hours ago
Base Salary
$150k - $220k/yr
Responsibilities
- Design and implement the orchestration layer for multi-step agentic workflows.
- Integrate external tools and APIs with reliable tool calling and robust error handling.
- Build retrieval and evaluation infrastructure for agent reliability and accuracy.
- Identify and automate recurring manual work by shipping reliable, scalable systems.
- Monitor agent performance in production and iterate on system design based on real-world behavior.
Requirements
- Strong computer science fundamentals and mathematical ability demonstrated through academics, competitions, or self-directed learning.
- Experience or strong project work with agent or LLM systems, including orchestration, tool integrations, retrieval-augmented generation, or evaluation frameworks.
- A track record of turning manual workflows into reliable, scalable systems.
- Recent graduates and self-taught builders are welcome; professional experience is not required.
Benefits
- Meaningful equity and a supportive early-stage startup environment.
- Full-time, on-site role in San Francisco, California, requiring in-person work five days per week.