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.
You’ll do well here if you move work forward even with dependencies, communicate clearly, and ship value in increments—building strong relationships while finding practical paths around blockers.
Implements CI/CD pipelines including automated testing, evaluation checks, contract testing and controlled environment promotion to ensure reliable, repeatable and production-ready AI/ML platform and model deployments.
Contributes to shared platform standards including API contracts, semantic versioning, repository contribution models, documentation and code reviews to enable multiple engineering teams to safely build and operate services on the platform.
Applies telemetry-first engineering practices including logs, metrics and traces to support monitoring, reliability and operational excellence.

Requirements

Minimum requirement of 2 years of relevant work experience.
Typically reflects 3 years or more of relevant experience.
Builds and operates data pipelines supporting training, evaluation, deployment and monitoring of models and AI/ML services on Sgemker.
Experience working with AI platform components such as LLM gateways, vector databases, retrieval systems or multi-model orchestration.
Familiarity with retrieval workflows including embedding generation, chunking strategies and scalable retrieval patterns.
Familiarity with AI observability and evaluation tooling (for example LangSmith or similar platforms) and integrating automated quality checks for AI systems.
Experience implementing infrastructure-as-code using tools such as Terraform, CDK or similar technologies for managing cloud environments.
Knowledge of cloud platform fundamentals including networking, identity management, secrets management and secure service communication.
Experience optimizing performance, reliability and cost efficiency of AI workloads including caching strategies, model routing and workload monitoring.
Experience using modern developer productivity tools including code assistants and AI-enabled development workflows.

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

CI/CD pipelinesautomated testingcontract testingAI/ML platformdata pipelinesinfrastructure-as-codecaching strategiesmodel routingperformance optimizationAI observability

Soft Skills

clear communicationrelationship buildingproblem-solvingincremental deliverydependency management