C# GenAI Engineer

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.

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
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.