Come build the AI platform that engineers across Cargill will use every day.
Shipping low-code and pro-code AI agents that turn real problems into real outcomes.
Designs and builds production-grade AI agents and services using strong Python with high-quality tests.
Leads build/test/release automation to keep main deployable.
Implements multi-model routing, fallbacks and cost/latency trade-offs through the LLM gateway.
Designs retrieval strategies leveraging vectors to support scalable use cases.
Applies telemetry-first practices and leads trace-first debugging.
Designs API/interface contracts to enable multiple teams to build on the shared AI platform.
Incorporates secure-by-default practices including secrets management and protections against prompt injection.

Requirements

Minimum requirement of 4 years of relevant work experience.
Typically reflects 5 years or more of relevant experience.
Experience integrating LangSmith evaluation into CI and production monitoring.
Familiarity with MCP tool interface patterns and building reusable, secure tool wrappers.
Experience implementing semantic caching and performance optimization techniques for AI workloads.
Exposure to AWS infrastructure patterns including IAM, KMS, private networking and secure service-to-service communication.
Experience governing shared repositories.

Benefits

Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.
Comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

Pythonlow-code developmentpro-code developmentbuild/test/release automationmulti-model routingtelemetry-first practicesAPI designsemantic cachingperformance optimizationsecure-by-default practices

Soft Skills

leadershipcollaborationproblem-solvingdebugging