Ingram Micro is seeking an experienced Principal, Software Engineer that sets the architecture and prompt-engineering direction for the agent layer in the platform, leads code reviews, and writes a meaningful share of the production code themselves.

Key Responsibilities
Own the end-to-end design of new audit capabilities - from data model and prompt structure through API surface,

persistence, and React UI.
Drive prompt engineering and agent design for the verdict-issuing and insight agents, including output_schema

design, temperature/grounding decisions, and tool-use patterns.
Lead code reviews and enforce platform non-negotiables: deterministic temperatures on verdict-issuing agents,

Pydantic schema enforcement, salvage-then-repair retries, mandatory evidencecited and missingevidence, and

constrained MCP tool-use.
Partner with the Ingram Micro audit team to translate SOPs into machine-readable control logic and SOP JSON.
Define and uphold the accuracy / hallucination-control program: schema-validity rate, citation re-validation,

golden-set regression harness,



auditor agreement and override metrics.
Make build/buy/integration decisions for recent connectors across internal Ingram applications, third-party SaaS tools,

and infrastructure systems.
Pair with engineers, unblock them daily, and personally write code on the hardest paths (agent orchestration, schema

repair, performance-critical batch flows).
Represent the team in design and security reviews.

What you bring:
8+ years of skilled software engineering experience, with 3+ years in a hands-on technical-lead role.
Robust Python (3.11+): FastAPI or equivalent async web framework, Pydantic v2, asyncio, SQLAlchemy or similar

ORM, Postgres.
Hands-on experience building production AI agents using Google ADK, LangGraph, LlamaIndex, OpenAI Assistants,

or comparable agentic frameworks - including tool-use, structured outputs, and multi-agent orchestration.
Practical prompt engine

📌 Principal, Software Engineer Mumbai
🏢 Ingram Micro
📍 Mumbai