Job Description GenAI / Agentic AI Engineer

Experience 5+ to 14 yrs

We are looking for an experienced GenAI / Agentic AI Engineer with robust expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate should have hands-on experience in designing, developing, and deploying end-to-end GenAI applications using modern AI frameworks and cloud platforms.

Key Responsibilities
Design, develop, and deploy end-to-end GenAI solutions.
Build RAG-based applications using vector databases and document retrieval pipelines.
Develop intelligent AI agents using Agentic AI frameworks.
Integrate LLMs into enterprise applications using prompt.
Required Skills
Solid programming experience in Python
End-to-end implementation of Retrieval-Augmented Generation (RAG)



solutions
Experience with Large Language Models (LLMs) such as GPT, Llama, Claude, Gemini, or Mistral
Hands-on experience with Agentic AI concepts and autonomous AI workflows
Experience with GenAI frameworks such as:
LangChain
LangGraph
LlamaIndex
CrewAI, AutoGen, or similar agent frameworks
Prompt Engineering and LLM orchestration
Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus, or Azure AI Search)
Embedding models and semantic search
REST API development using FastAPI or Flask
Git and CI/CD practices
Docker and containerization
Strong SQL knowledge

Valuable to Have

📌 Data Scientist Hyderabad
🏢 EPAM Systems
📍 Hyderabad