We are looking for a skilled Generative AI Engineer with 5 to 10 years robust hands-on expertise in Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI.

The candidate will design, develop, and productionize enterprise-grade GenAI applications, including conversational AI, knowledge assistants, intelligent agents, and multi-step AI workflows.

Key Responsibilities
Design and develop scalable Generative AI and LLM-based applications using Python.
Build end-to-end RAG pipelines, covering document ingestion, text preprocessing, chunking, embeddings, vector indexing, retrieval, prompt construction, and LLM response generation.
Develop Agentic AI workflows, including tool-calling agents, stateful agents, conditional routing, memory, and multi-agent orchestration.
Implement advanced retrieval techniques such as semantic search, metadata filtering, hybrid retrieval, and reranking to improve response relevance. These patterns also appear in internally shared GenAI profiles.




Integrate LLMs with enterprise applications, APIs, databases, knowledge repositories, and external tools.
Develop backend services and REST APIs using FastAPI/Flask.
Implement prompt engineering, structured outputs, function/tool calling, and context-management techniques.
Evaluate RAG and LLM solutions for accuracy, relevance, hallucination, latency, reliability, and cost.
Implement logging, tracing, monitoring, exception handling, security, and observability for production GenAI applications.
Work with product, engineering, research, and platform teams to deliver GenAI solutions end-to-end.

Mandatory Skills
Robust hands-on programming experience in Python
Robust understanding of Generative AI and LLM architecture
Hands-on experience building RAG applications
Experience with Agentic AI / AI Agents
LangChain and/or LangGraph
Prompt Engineering
Embeddings and Vector Search

📌 Gen Ai Engineer Bengaluru
🏢 HCLTech
📍 Bengaluru