Full Stack Engineer
Location: Wayzata, MNWork Model: Hybrid, 2 days per weekDuration: 6+ Months ContractMust-Have SkillsC# Back-End DevelopmentReact & TypeScript Front-End DevelopmentHands-on GenAI / LLM application integrationMicrosoft AzureAzure DevOps & CI/CDRole OverviewWe are seeking a Senior Full-Stack Software Engineer to join a GenAI Discovery and Prototyping team. The engineer will contribute to a major platform upgrade connecting enterprise data pipelines, Large Language Models (LLMs), and application prototypes.This is a true full-stack engineering role requiring strong C# back-end development along with React and TypeScript front-end development. A key focus will be building reliable software solutions that securely integrate, validate, process, and manage LLM outputs within an enterprise environment.Key ResponsibilitiesDesign, develop, and maintain full-stack applications using C#, React, and TypeScript.Integrate Generative AI/LLM models into enterprise applications and data workflows.Develop workflows for validating, parsing, and handling structured LLM outputs.Work with modern AI integration concepts such as Model Context Protocol (MCP) and skills-based integrations.Deploy applications using Microsoft Azure and Azure DevOps CI/CD pipelines.Support application logging, monitoring, containers, and basic Infrastructure as Code (IaC).Troubleshoot applications operating within secure enterprise environments, including firewall and access-control constraints.Support modernization of legacy applications toward cloud-native architectures.Troubleshoot complex technical issues and independently drive features from prototype through production readiness.Required Qualifications7+ years of professional software engineering experience.Strong hands-on experience with C# and scalable back-end/web services.Strong experience with React and TypeScript.Proven hands-on experience integrating GenAI/LLMs into applications or data-processing workflows, beyond prompt engineering.Hands-on experience with Microsoft Azure.Experience with Azure DevOps and CI/CD pipelines.Understanding of cloud-native development, container workflows, monitoring, and logging.Experience working across Dev, QA, Staging, and Production environments.Strong troubleshooting skills and ability to work independently.Preferred QualificationsAWS and/or AWS EKS experience.Multi-cloud environment experience.Legacy application modernization or platform migration experience.Familiarity with enterprise AI security, governance, and data privacy.Experience with complex dietary, formulation, or animal nutrition software is a plus.