Senior Full-Stack Engineer (Python, React & AI Agents)

Sr. Full-Stack Engineer It's fun to work in a company where people truly BELIEVE in what they're doing! Job Description: Full-Stack Engineer (Python + React + AI Agents) Ingram Micro is seeking an embedded full-stack engineer who will deliver features across: agent prompts and tools, FastAPI services, Postgres/SQLite persistence, and the React audit-review UI. Each engineer is expected to be comfortable moving between the agent layer, the API layer, and the front-end inside a single feature. Key responsibilities - Build and maintain features in the Python/FastAPI backend (server, routes, services) including audit orchestration, audit cache, scheduler, reporting, and integrations with internal Ingram applications, third-party SaaS tools, and infrastructure systems. - Implement and refine agents and prompts: output_schema-bound verdict agents, MCP tool wiring, prompt templates and SOP-injection blocks. - Build and harden React/TypeScript components in the audit-review UI: report views, verdict drill-downs, override workflows, and dashboards consuming the Insight Agent output. - Write Pydantic models, schema-repair logic, and unit/integration tests. - Integrate with change-management, HR, and identity/directory systems through MCP-bound tool servers and REST clients. - Contribute to the Postgres / SQLite data model and to migration / backfill scripts. - Participate in code reviews, on-call triage, and accuracy/regression reviews. - Ship features with the platform's accuracy controls already in place: temperature 0.0 on verdict agents, mandatory evidence citation, deterministic prompt construction, and reproducibility checks. What You Bring: - 4+ years of full-stack engineering, with strong production experience in BOTH Python and React/TypeScript. - Python: FastAPI (or Flask/Starlette), Pydantic v2, asyncio, SQLAlchemy, Postgres, REST API design, pytest. - React/TypeScript: functional components, hooks, state management, typed API clients, working with paginated tables and detail views. - Hands-on experience building or integrating AI agents - at least one production or substantial prototype using Google ADK, LangGraph, LangChain, OpenAI Assistants, or comparable, including tool-use and structured outputs. - Comfortable with prompt engineering for frontier LLMs (Gemini, Claude, GPT-4-class) and with debugging structured-output failures. - Git, code review, and trunk-based / feature-branch workflows. - Docker and basic familiarity with containerized cloud deployments. Nice-to-have - MCP (Model Context Protocol) server or client experience. - Experience integrating with change-management, HR, and identity/directory systems via REST APIs or equivalent. - SQLite + Postgres dual-store applications. - Bitbucket Pipelines or equivalent CI/CD experience. - Exposure to GRC / IAM / SOX / ITGC tooling. - Prior work on LLM evaluation harnesses and regression testing. Experience Level Senior Level .