Senior Full-Stack Software Engineer (C#, React, & GenAI Integration)

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