Principal, Software Engineer

Its fun to work in a company where people truly BELIEVE in what theyre doing!

Job Description:

Principal Software Engineer

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 outputschema
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 new 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 professional software engineering experience with 3 years in a hands-on technical-lead role.
- Strong 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 engineering against frontier LLMs (Gemini 2.5/3.x Claude GPT-4-class) including outputschema /
JSON-mode design and reliable structured-output strategies.
- React TypeScript at a level sufficient to review and contribute to the audit-review UI.
- Production experience integrating MCP (Model Context Protocol) tool servers or equivalent tool-binding patterns.
- Proven track record running accuracy / regression / evaluation programs for LLM-powered systems (golden sets
schema-validity tracking hallucination guards).
- Containerized deployments (Docker Cloud Run / GKE / equivalent) Git-based workflows code review discipline.

Nice-to-have
- Familiarity with ITGC / SOX access-control audits or experience building compliance GRC IAM or security-tooling
products.
- Experience integrating with change-management HR and identity/directory systems via REST APIs or equivalent.