HI
AI Full Stack Developer (GenAI / LLM Focus)
Han IT Staffing
Location not stated
5 months ago
- AI
- Machine Learning
- Copilot
- REST API
- AI/ML
- React.js
- Python
- Java
- .NET
- LangChain
- LangGraph
- System Design
- RAG
- CI/CD
- Git
5 months ago
Role: AI Full Stack Developer (GenAI / LLM Focus)
Role Overview
We are seeking ahands-on AI Full Stack Developer to build and deliverend-to-end AI-powered applications that integrate LLM/GenAI capabilities into real-world business workflows.This role is focused onAI-driven product development, combiningbackend services, frontend experiences, APIs, and intelligent workflows to create scalable and user-centric applications (e.g., chatbots, copilots, AI assistants).
Key Responsibilities
- Build and deployend-to-end AI applications (e.g., chatbot/copilot platforms) with UI, APIs, and backend services
- Design and developREST APIs and services for LLM inference, prompt orchestration, and agent workflows
- ImplementAI-driven user experiences, including:
- Explainability features
- Feedback loops
- Human-in-the-loop (HITL) workflows
- Develop and manageprompt flows, tool/function calling, and agent orchestration
- Integrate AI/ML services withenterprise systems and external APIs
- BuildReact (or similar) based frontends to enable intuitive interaction with AI systems
- Ensuresecure SDLC practices including code reviews, testing, dependency management, and vulnerability fixes
- Collaborate witharchitecture, platform, and product teams to align with enterprise standards
- Leverage AI coding tools (e.g., Copilot, agentic IDEs) to improve developer productivity
Required Skills (Must-Have)
- 5+ years offull-stack software development experience
- Strong programming skills inPython (preferred) / Java / .NET
- Hands-on experience buildingLLM/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:
- LangChain / LangGraph / 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 withCI/CD, Git workflows, and automated testing
Nice-to-Have (Highly Preferred)
- Experience buildingAI copilots, chatbots, or internal AI assistants
- Knowledge ofAI observability and evaluation:
- Prompt/version tracking
- Model evaluation metrics
- Experience designingAI interaction UX (explainability, feedback, HITL)
- Exposure toLLM runtimes, embeddings, and vector databases
AI Full Stack Developer (GenAI / LLM Focus) · Han IT Staffing