Minimum **3** year(s) of experience is required
Role Summary
Build and deploy production\-grade AI applications using LLMs, RAG pipelines, and agentic systems
Work across backend (Python/FastAPI) and frontend (React/JavaScript) stacks
Deploy and operate AI services in cloud\-native Kubernetes environment
Leverage modern GenAI frameworks and tooling to accelerate development
Key Responsibilities
Design and develop LLM\-powered backend services using Python and FastAPI
Build Retrieval\-Augmented Generation (RAG) pipelines using vector databases
Implement agentic workflows using frameworks such as AutoGen or similar
Design and expose RESTful APIs following OpenAPI / REST API specifications
Integrate backend AI services with React \+ JavaScript frontend applications
Deploy, manage, and scale AI services on Kubernetes
Use LangChain to orchestrate prompts, tools, chains, memory, and agents
Prompt/version tracking
LLM tracing and debugging
Evaluation and performance monitoring
Apply prompt engineering best practices and maintain reusable prompt libraries
Collaborate with cross\-functional teams to deliver end\-to\-end AI solutions
Ensure security, reliability, observability, and performance of AI system
The candidate should have minimum 5 years of experience in Python (Programming Language).
15 years full time education
FBS Agile Dev Team Member III : .net core Full Stack Developer
Capgemini · Hyderabad, Telangana, India
IT Business Analyst – Agile | Process Modeling | Enterprise Systems
XML International · Bengaluru, Karnataka, India
UX Designer
Booming Bulls Academy · HR, IN