Sr. Full-Stack Engineer

Its fun to work in a company where people truly BELIEVE in what theyre 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: outputschema-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 platforms 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.