AI Fullstack Developer

WINNING EDGE
Minneapolis, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Minneapolis, United States of America

Tech stack

Java
.NET
API
Artificial Intelligence
Automation of Tests
Code Review
Continuous Integration
Design of User Interfaces
Python
Azure
Systems Architecture
Systems Integration
Software Vulnerability Management
Web Application Frameworks
Web Services
Modern Ui
React
Large Language Models
Prompt Engineering
Backend
GIT
Git Flow
Data Management
Front End Software Development
Api Design
REST
Software Version Control
Automation Anywhere

Requirements

Key Skills: LLM/GenAI Integration, Python/Java/.NET, API Development, LangChain/AI Agents, React (Full Stack Development), System Design & Architecture, Prompt Engineering, AI Workflows, CI/CD & Git, Observability & AI Monitoring, Proven experience in LLM / GenAI integration in real applications

Strong API development and backend engineering expertise

Ability to design and clearly explain system architecture (not just implementation)

Practical experience with: *

  • Prompt engineering
  • AI workflows (LangChain, agents, tool integrations)
  • Observability, feedback loops, and AI evaluation

Strong communication skills and ownership mindset

Roles & Resposibilities:

Build full-stack applications that integrate AI/ML outputs into user-facing and backend workflows.

Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool integrations.

Implement UI/UX experiences for AI-enabled features (explanations, feedback loops, human-in-the-loop controls).

Apply secure SDLC practices: code reviews, testing, dependency management, and vulnerability remediation.

Partner with architects and platform teams to align to standards and reuse shared components.

5+ years building production software (backend and/or frontend) in Java/Python/.NET ecosystems.

Experience with web frameworks and modern UI (React or similar) and REST API development.

Working knowledge of CI/CD, Git workflows, and automated testing.

Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs.

Strong problem-solving skills and ability to deliver iteratively in an agile environment.

Experience building internal tools or copilots with prompt engineering and tool/function calling.

Experience with observability for AI features (quality metrics, prompt/model versioning).

UX experience designing AI interactions and feedback capture.

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