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Job Summary

We are looking for a skilled Generative AI Engineer with solid 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. [Naukri_Sha...dav[9y_0m] | Word]
- 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

- Strong hands-on programming experience in Python
- Strong 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
- Knowledge of semantic search, chunking strategies, retrieval optimization, and reranking
- Experience with LLM APIs and open-source/commercial models
- Git, Docker, and CI/CD fundamentals

📌 Gen AI Engineer (Noida)
🏢 HCLTech
📍 Noida