AI Full Stack Developer (GenAI/LLM)

Skill

Years of Experience

Year Last Used

LLM / GenAI Integration (OpenAI, APIs, RAG)

Backend Development & API Design (Python/Java/.NET)

AI Frameworks (LangChain / LangGraph / Agents)

Full Stack Development (React / Modern UI)

System Design & Architecture (AI Applications)

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Position Details

Requirement

Role

AI Full Stack Developer (GenAI/LLM)

Location

Minneapolis, MN (Hybrid). Local candidates are highly preferred due to onsite expectations.

Type of Hire - Contract/ C2H

Contract

Number of Interviews

2 Level Internal interview followed by client interview

In person interviews Yes/No

No

Client Interview Yes/No

Yes

Position requirements (Remote/ Hybrid/Fully onsite)

Hybrid

Job Description

Role: AI Full Stack Developer (GenAI / LLM Focus)

Location: Minneapolis, MN

Role Overview

We are seeking a hands-on AI Full Stack Developer with proven experience building and deploying GenAI/LLM-powered applications end-to-end. This role requires strong backend/API engineering, solid frontend skills, and the ability to design, explain, and scale AI-driven systems.

Key Responsibilities

• Build and deploy full-stack applications integrating LLM/GenAI capabilities into real-world workflows
• Design and develop APIs/services for model inference, prompt orchestration, and agent workflows
• Implement AI-driven UX features such as:
  • Explanations
  • Feedback loops
  • Human-in-the-loop workflows
• Work with LLM frameworks (LangChain, LangGraph, or similar) to build intelligent applications
• Integrate with external AI/ML services and data platforms via APIs
• Ensure secure SDLC practices: testing, code reviews, dependency management, vulnerability fixes
• Collaborate with architecture and platform teams to align with enterprise standards
• Use AI coding tools (Copilot, agentic IDEs) to accelerate development while maintaining quality

Required Skills (Must-Have)

• 5+ years of software development (backend + frontend)
• Strong experience in Python / Java / .NET (Python highly preferred)
• Hands-on experience building LLM/GenAI applications (production or strong POCs)
• Experience with:
  • REST API development
  • React or modern frontend frameworks
• Practical experience with:
  • LangChain / LangGraph / agent frameworks
  • Prompt engineering & tool/function calling
• Strong understanding of:
  • AI system design & architecture
  • Model integration patterns (RAG, APIs, agents)
• Experience with CI/CD, Git workflows, and automated testing

Nice-to-Have (Highly Preferred)

• Experience building internal copilots or AI assistants
• Knowledge of AI observability:
  • Prompt/version tracking
  • Model evaluation metrics
• Experience designing AI interaction UX