Job Title: Senior Full-Stack AI Software Engineer
Duration: 9+ Months Contract
Location: Wayzata, MN - Hybrid
Role Overview
Cargill is seeking a Senior Full-Stack Software Engineer to join the GenAI Discovery and Prototyping team. This individual will help deliver a major platform upgrade that connects enterprise data pipelines, large language models (LLMs), and rapid application prototypes.
This is a true full-stack delivery role. The engineer will build scalable application layers using C# on the back end and React with TypeScript on the front end. A core focus of the position will be designing reliable software solutions that securely ingest, validate, process, and return LLM outputs within an enterprise ecosystem.
The ideal candidate has a strong engineering foundation, understands LLMs as statistical tools, and has direct, hands-on experience building applications powered by generative AI. Because this team operates in a fast-paced prototyping environment inside a mature enterprise, the engineer must be comfortable navigating secure data environments, collaborating across multiple staging environments, and adapting quickly as platform requirements evolve.
Key Responsibilities
- Full-Stack Development: Design, build, and maintain features across the application stack, utilizing C# for back-end services and React/TypeScript for user-facing interfaces.
- GenAI Orchestration: Connect enterprise data sources and LLMs with application prototypes. Build robust workflows for validating, parsing, and structured handling of LLM outputs.
- Modern AI Engineering: Apply modern AI integration concepts, including Model Context Protocol (MCP) and skills-based software integrations.
- Cloud & Environment Collaboration: Deploy code through automated CI/CD pipelines in Microsoft Azure. Contribute to application logging, monitoring, and basic Infrastructure as Code (IaC) templates.
- Enterprise Navigation: Work alongside platform and security teams to troubleshoot applications operating within secure enterprise data environments, firewalls, and access control boundaries.
- Platform Upgrades: Assist in modernizing legacy architectures and migrating workflows toward twelve-factor, cloud-native application designs.
- Independent Execution: Troubleshoot complex system bugs and technical blockers with minimal daily supervision, driving features from discovery to production-ready status.
Required Qualifications
- 7+ years of professional software engineering experience in an enterprise or fast-paced product environment.
- Advanced back-end experience designing and developing scalable web services using C#.
- Strong front-end experience building interactive, responsive user interfaces using React and TypeScript (within the Node.js ecosystem).
- Proven production experience building software with LLMs, including direct integration of GenAI models into application workflows or data processing pipelines.
- Cloud Experience: Hands-on experience developing and deploying applications within Microsoft Azure and utilizing Azure DevOps for CI/CD.
- Familiarity with Cloud-Native Design: Understanding of twelve-factor application methodologies, container workflows, and standard application monitoring/logging practices.
- Enterprise Adaptability: Experience working within multi-environment architectures (Dev, QA, Staging, Prod) with complex data governance and firewall constraints.
- Ability to operate independently, troubleshoot across a broad stack, and pivot quickly as prototyping requirements evolve.
Preferred Qualifications
- Experience working in multi-cloud environments (AWS exposure alongside Azure, including AWS EKS).
- Previous experience working with animal nutrition, complex dietary software, or large-scale formulation platforms.
- Hands-on experience modernizing legacy application architectures or supporting major platform migrations.
- Familiarity with enterprise AI security, governance frameworks, and data privacy controls.
Must-Have Skills
- C# Back-End Development
- React & TypeScript Front-End Development
- Hands-on GenAI / LLM Software Integration (Application side, not just prompt design)
- Microsoft Azure and Azure DevOps CI/CD pipelines
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