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Sr. Full-Stack Engineer at Ingram Micro — Mumbai Metropolitan Region

Experience4–5 yrs
SalaryNot disclosed
Work modeonsite
Levelmid
Posted17 Sept 2026

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About Ingram Micro

Ingram Micro is hiring in Mumbai Metropolitan Region in technology software. This role looks for around 4+ years of experience.

Skills

Python
React
TypeScript
FastAPI
Pydantic
asyncio
SQLAlchemy
PostgreSQL
REST API design
pytest
AI agents
prompt engineering
Git
Docker

The role

A full-stack engineer at a technology marketplace builds AI agent features and audit workflows across Python, React, and FastAPI, and develops structured outputs and prompt engineering for production systems. The role also applies Postgres and MCP integrations to connect application services with enterprise tools.

Full 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.