Senior Azure Platform Engineer for GenAI Platform (Hybrid)

Apex Systems

Minnesota

Hybrid

USD 83,000 - 90,000

Part time

6 days ago
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Benefits offered by this job

Health insurance
401(k) plan
ESPP
HSA

Job summary

Apex Systems is seeking a Senior Fullstack Software Engineer to join the GenAI Discovery and Prototyping team in Wayzata, MN. You will design, build, and maintain features across the stack with C# on the backend and React/TypeScript on the frontend, connecting data sources with LLMs for enterprise-grade prototypes.

Hybrid work in Minnesota, with CI/CD in Azure and modern cloud-native practices. You will help migrate legacy workflows and ensure secure, scalable AI-enabled applications in a

Qualifications

  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 7+ years of professional software engineering experience.
  • Experience delivering production software with LLMs or GenAI integrations.

Responsibilities

  • Design, build, and maintain features across the stack using C# back end and React/TypeScript front end.
  • Integrate enterprise data sources and LLMs for prototypes and workflows.
  • Apply AI integration concepts (Model Context Protocol, skills-based integrations).
  • Deploy code via CI/CD in Azure; contribute to logging, monitoring, and IaC templates.
  • Collaborate with security teams to ensure enterprise data safety and access controls.

Skills

C# backend
React
TypeScript
Azure
CI/CD
Node.js
Twelve-factor
Security

Education

Bachelor's degree in CS/Software Engineering

Tools

Azure DevOps
Docker

Job description

Apex Systems is seeking a Senior Fullstack Software Engineer to join the GenAI Discovery and Prototyping team in Wayzata, MN. You will design, build, and maintain features across the stack with C# on the backend and React/TypeScript on the frontend, connecting data sources with LLMs for enterprise-grade prototypes.

Hybrid work in Minnesota, with CI/CD in Azure and modern cloud-native practices. You will help migrate legacy workflows and ensure secure, scalable AI-enabled applications in a

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