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.