Job Description GenAI / Agentic AI Engineer

Experience 5+ to 14 yrs

We are looking for an experienced GenAI / Agentic AI Engineer with strong 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

Good to Have

📌 Data Scientist (Hyderabad)
🏢 EPAM Systems
📍 Hyderabad