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