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About the role
Key responsibilities & impact- Ship AI product features that combine engineering and ML.
- Build and improve agent workflows (tooling, retries, guardrails, fallbacks).
- Improve the latency, cost, and reliability of our systems.
- Track what’s new in the AI space (agent teams, methods, tooling) and turn it into shipped products.
- Build self-improving loops: systems that run experiments, learn from feedback and evals, and improve the product over time.
Requirements
What you’ll need- Have shipped real systems, not just demos or prototypes.
- Have built software with LLMs (structured outputs/function calling, tool use, reliability work).
- Have built agents (multi-step workflows that call tools, keep states, and handle failures).
- Have set up evals to track quality (tests, regression checks, eval harnesses).
- Feel comfortable moving fast, iterating, and owning outcomes end to end.
Benefits
Comp & perks- We are an equal opportunity employer
- Open and inclusive workplace
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAI product developmentsoftware engineeringlarge language modelsmulti-step workflowssystem reliabilityexperiment trackingfeedback loopslatency optimizationcost reduction
Soft Skills
iterationownershipfast-paced workproblem-solvingadaptability
