Senior Full-Stack Software Engineer - AI/LLM

Senior Full-Stack Software Engineer - AI/LLM

Location: Wayzata, MN

Onsite Flexibility: Hybrid — Onsite 2 days/week (non-negotiable)

Contract Details

• Position Type: Contract
• Contract Duration: 7 months
• Pay Rate: $81.67 / Hour (USD)
• Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Summary

* is seeking aSenior 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 usingC# on the back end andReact 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.

This engagement involves two openings focused on modernizing a legacy Max client application into a cloud-based web application with Agentic AI capabilities. Strong enterprise-level full-stack development experience is required. Must be local to Wayzata, MN — onsite 2 days/week is non-negotiable. Relocation candidates are discouraged.

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 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
• Frontend: ReactJS / Web Components
• Backend: .NET, C#, APIs, Azure Functions
• Database: PostgreSQL or Azure SQL
• Cloud: Azure, including Azure Foundry
• Infrastructure: Infrastructure as Code (IaC)
• DevOps: Enterprise CI/CD and unit testing
• Agentic AI: Experience with orchestration, multi-threading, and connecting to multiple MCP servers
• AI Models: Familiarity with Azure-based foundation models
• 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
• Hands-on experience developing and deploying applications within Microsoft Azure and utilizing Azure DevOps for CI/CD
• Understanding of twelve-factor application methodologies, container workflows, and standard application monitoring/logging practices
• 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 Skills

• 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
• Experience with Claude, DeepSeek, or open-weight models
• Experience connecting Azure Foundry resources with MCP servers
• Deep Agentic AI experience (preferred but not mandatory if the candidate has a very strong enterprise software background)

Required Experience

• 7 years of professional software engineering experience in an enterprise or fast-paced product environment

Benefits

• Medical, Vision, and Dental Insurance Plans
• 401k Retirement Fund

Important Notes

• Must be local to Wayzata, MN — onsite 2 days/week is non-negotiable
• Relocation candidates are discouraged
• Interview process: Likely 1–2 rounds, potentially including a panel

About the Client

This global food and agriculture company is the largest privately held enterprise in the United States, with a presence in more than 70 countries and customers in 125, providing sustainable ingredients and industrial products that connect the world's agricultural supply with the people and industries that depend on it. The organization manages the movement, processing, and marketing of grains, oilseeds, sugar, and other agricultural commodities while producing the starches, sweeteners, proteins, and natural ingredients found in everything from food to fuel to consumer products — employing agronomists, supply chain and logistics specialists, food scientists, commodity traders, risk analysts, and finance professionals across a globally interconnected enterprise. Rated 4.0 out of 5 stars on Glassdoor across more than 5,700 employee reviews, the company is consistently recognized for its collaborative culture, strong work-life balance, and long-term orientation enabled by its private ownership structure.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-14370Industry:** Software Engineering

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