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Popular mid-level full-stack role with AI requirements and recognizable employer increases competition.
Full-stack skills transfer broadly, but AI agent requirements increase industry specificity.
Mandatory 4+ years, both Python and React, plus AI agent experience tighten screening.
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Develop and maintain full-stack features across Python FastAPI backend, React/TypeScript audit-review UI, and AI agent prompt layers within a single feature.
Deliver production-grade components including audit orchestration, scheduling, reporting, integrations with internal and third-party SaaS tools, and identity/directory systems.
Ensure platform accuracy and reproducibility by implementing controls such as deterministic prompt construction, evidence citation, and regression checks.
4+ years of full-stack engineering experience with strong skills in Python (FastAPI or similar) and React/TypeScript.
Hands-on experience building or integrating AI agents with production or substantial prototype exposure to tools like LangChain, OpenAI Assistants, or similar.
Proficiency in backend technologies: Pydantic v2, asyncio, SQLAlchemy, Postgres, REST API design, pytest, and frontend experience with functional React components, hooks, and typed API clients.
Experience with Git, code review workflows, Docker, and basic containerized cloud deployment knowledge.
Engineer comfortable operating across multiple layers including AI agent prompt engineering, backend APIs, and frontend UI within a feature.
Experience designing and delivering features requiring strict platform accuracy controls and reproducibility in AI outputs.
Familiarity with integrating enterprise systems such as change management, HR, or identity/directory via REST APIs, and working in dual-database environments (Postgres + SQLite).