Job Description
Role Overview:
• Client 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