Remote, but you must be in the following locations
Design end-to-end systems for an AI-powered assistant from loosely defined goals
Build Python services and APIs using FastAPI for production workloads
Deliver production implementations that balance quality, latency, reliability, and cost
Define evaluation approaches for AI features using automated tests, datasets, and regression suites
Implement monitoring and failure analysis workflows to validate AI behavior in production
Apply security controls for AI systems including guardrails, auditability, and safe data handling
Collaborate with business users to gather requirements, validate assumptions, and refine solutions
Review and validate AI-generated code from coding agents to ensure correctness and safety
Drive technical decisions in a low-formality environment and keep delivery moving
Maintain a high bar for reliability, security, and maintainability across the codebase
