AI Full Stack Developer (GenAI LLM Focus)

Role Overview:

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).

Key Responsibilities:

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:
o Explainability features
o Feedback loops
o 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

Required Skills (Must-Have):

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:
o REST API development
o Backend service design and integration
o Modern frontend frameworks (React preferred)
Practical experience with:
o LangChain / LangGraph / agent frameworks
o Prompt engineering and prompt workflows
o Tool/function calling and API orchestration
Strong understanding of:
o AI system design and application architecture
o LLM integration patterns (RAG agents copilots)
Experience with CI/CD Git workflows and automated testing