Job Summary Our client, a leading global organization, is seeking a Senior Full-Stack Software Engineer - GenAI to join their team! This is a 7-month contract opportunity located in Wayzata, MN, with a hybrid schedule requiring onsite work approximately two days per week.
This engineer will join a GenAI Discovery and Prototyping team supporting a major platform upgrade connecting enterprise data pipelines, large language models (LLMs), and rapid application prototypes. The role combines C# back-end engineering, React/TypeScript front-end development, Microsoft Azure, and hands-on GenAI/LLM integration. Core Responsibilities Design, build, and maintain full-stack application features using C# for back-end services and React/TypeScript for front-end interfaces Integrate enterprise data sources and LLMs into application prototypes and production workflows Build reliable processes for validating, parsing, and handling structured LLM outputs Apply modern AI integration concepts, including Model Context Protocol (MCP) and skills-based software integrations Deploy applications through automated CI/CD pipelines within Microsoft Azure Collaborate with platform and security teams to troubleshoot applications within secure enterprise environments Support modernization of legacy architectures toward twelve-factor, cloud-native application designs Required Skills/Experience (Must-Haves) 7+ years of professional software engineering experience in enterprise or fast-paced product environments Advanced C# back-end development experience building scalable web services Strong React and TypeScript front-end development experience Hands-on production experience integrating GenAI/LLMs into applications or data processing pipelines Microsoft Azure experience, including Azure DevOps and CI/CD pipelines Experience with cloud-native application concepts, container workflows, monitoring, and logging Experience operating across Dev, QA, Staging, and Production environments within complex enterprise architectures Preferred Skills/Experience (Nice-to-Haves) Experience working in multi-cloud environments, including AWS exposure and AWS EKS Experience with Model Context Protocol (MCP) or similar modern AI integration approaches Experience modernizing legacy application architectures or supporting major platform migrations Familiarity with enterprise AI security, governance frameworks, and data privacy controls Experience with Infrastructure as Code (IaC) Experience with animal nutrition, complex dietary software, or large-scale formulation platforms Key Competencies & Behaviors Full-Stack Technical Expertise Independent Problem Solving Adaptability in
7 months This position is not available as fully remote
Compensation & Benefits Pay Range:
The approximate pay range for this position is between $51.00 and $73.80 per hour. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. Medical, Dental, & Vision Insurance Plans Employee-Owned Profit Sharing (ESOP) 401K offered About KellyMitchell At KellyMitchell, our culture is world class. We're movers and shakers! We don't mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. Were passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moments notice. Marketing Disclosure By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy [143208]