Senior 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.