Full Stack Software Engineer

Performix; Wayzata (MN); On-site; USD 120,000 - 150,000; Full time

Job summary

Performix is seeking a Senior Full-Stack Software Engineer to join the GenAI Discovery and Prototyping team. You will help deliver a major platform upgrade that connects enterprise data pipelines, large language models, and rapid application prototypes.

You’ll build scalable backend services in C# and modern frontend interfaces with React and TypeScript, focusing on secure ingestion, validation, and processing of LLM outputs within an enterprise ecosystem, and you’ll collaborate across multiple

Qualifications

• 7+ years of professional software engineering experience in enterprise or fast-paced product environments.
• 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 (Node.js ecosystem).

Responsibilities

• Design, build, and maintain features across the application stack (C# backend, React/TypeScript frontend).
• Orchestrate GenAI using enterprise data sources and LLMs for prototypes.
• Develop robust workflows to validate, parse, and handle LLM outputs.
• Apply AI integration concepts including Model Context Protocol and skills-based software integrations.
• Deploy code through CI/CD pipelines in Microsoft Azure and contribute to IaC templates.
• Collaborate with security teams to operate in secure enterprise data environments.
• Modernize legacy architectures and migrate workflows to cloud-native designs.
• Troubleshoot complex blockers with minimal supervision.

Skills

C# Backend

React/TypeScript

GenAI Integration

Job description

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)