SeniorProductEngineer,AgentSystems

## Accountabilities Design, build, and ship specialized AI agents including parsers, rule extractors, dependency mappers, test synthesizers, and workflow orchestrators Develop agent behaviors that operate on a structured Code Intelligence Graph with full traceability and deterministic auditability Implement governed autonomy across shadow, supervised, and autonomous execution modes with human-in-the-loop controls Orchestrate and integrate frontier LLMs (e.g., OpenAI, Anthropic, Google) through structured decision models under strict governance constraints Own end-to-end delivery of agent components from design and prototyping through deployment and post-release validation Build and maintain robust testing frameworks including unit, integration, E2E, and behavior-equivalence verification systems Collaborate with platform, DevOps, and product teams to ensure scalable, reliable, and repeatable release pipelines Document agent logic, contracts, prompts, and verification strategies while contributing to engineering best practices across the team Requirements: 4+ years of strong production experience in Python engineering, with emphasis on clean, maintainable, and testable code Solid understanding of asynchronous programming (asyncio), distributed systems concepts, and system reliability patterns Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar), including structured outputs, streaming, and retries Strong expertise in test-driven development with pytest and experience building comprehensive automated test suites Experience designing and working with scalable backend systems using frameworks such as FastAPI or equivalent Familiarity with cloud infrastructure (AWS services such as EKS, ECS, S3, Lambda, DynamoDB, CloudWatch) Experience with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions preferred) Strong problem-solving mindset with a focus on ownership, quality, and continuous improvement Excellent communication skills and ability to collabor