HI
Python Developer (GenAI/LLM Focus)
Han IT Staffing
🇺🇸 United States
On-site
5 months ago
- Python
- Machine Learning
- AI
- Copilot
- REST API
- AI/ML
- React.js
- Java
- .NET
- System Design
- RAG
- CI/CD
- Git
5 months ago
Location: Minneapolis, MN (Onsite)
Duration: Contract
Job Description:
- We are seeking a hands-on AI Full Stack Developer to build and deliver end-to-end AI-powered applications that integrate LLM/GenAI capabilities into real-world business workflows.
- This role is focused on AI-driven product development, combining backend services, frontend experiences, APIs, and intelligent workflows to create scalable and user-centric applications (e.g., chatbots, copilots, AI assistants).
- Build and deploy end-to-end AI applications (e.g., chatbot/copilot platforms) with UI, APIs, and backend services
- Design and develop REST APIs and services for LLM inference, prompt orchestration, and agent workflows
- Implement AI-driven user experiences, including:
- Explainability features
- Feedback loops
- Human-in-the-loop (HITL) workflows
- Develop and manage prompt flows, tool/function calling, and agent orchestration
- Integrate AI/ML services with enterprise systems and external APIs
- Build React (or similar) based frontends to enable intuitive interaction with AI systems
- Ensure secure SDLC practices including code reviews, testing, dependency management, and vulnerability fixes
- Collaborate with architecture, platform, and product teams to align with enterprise standards
- Leverage AI coding tools (e.g., Copilot, agentic IDEs) to improve developer productivity
- 5+ years of full-stack software development experience
- Strong programming skills in Python (preferred) / Java / .NET
- Hands-on experience building LLM/GenAI-powered applications (production or strong POCs)
- Strong experience with:
- REST API development
- Backend service design and integration
- Modern frontend frameworks (React preferred)
- Practical experience with:
- Lang Chain / Lang Graph / agent frameworks
- Prompt engineering and prompt workflows
- Tool/function calling and API orchestration
- Strong understanding of:
- AI system design and application architecture
- LLM integration patterns (RAG, agents, copilots)
- Experience with CI/CD, Git workflows, and automated testing
- Experience building AI copilots, chatbots, or internal AI assistants
- Knowledge of AI observability and evaluation:
- Prompt/version tracking
- Model evaluation metrics
- Experience designing AI interaction UX (explain ability, feedback, HITL)
- Exposure to LLM runtimes, embeddings, and vector databases
Python Developer (GenAI/LLM Focus) · Han IT Staffing