AI Engineer Generative AI / LLM / RAG

Experience: 5–9 Years
Location: Gurgaon / Gurugram
Employment: Full-time

Role Overview

We are looking for an experienced AI Engineer with robust hands-on expertise in Generative AI, Large Language Models (LLMs), RAG, and LangChain. The ideal candidate should have experience building and deploying production-ready AI solutions using modern GenAI frameworks and technologies.

Key Responsibilities
Design, develop, and deploy Generative AI and LLM-based applications.
Build robust Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
Develop LLM applications using LangChain / LangGraph and related frameworks.
Work with vector databases, embeddings, semantic search, and document retrieval.
Integrate LLMs such as OpenAI, Azure OpenAI, Llama, Mistral, or similar models into applications.
Develop AI agents, prompt engineering workflows, tool/function calling, and conversational AI solutions.
Build APIs and backend services using Python and relevant frameworks.
Evaluate and optimize LLM responses for accuracy, relevance, latency, and cost.
Work closely with data, product, and engineering teams to convert business requirements into scalable AI solutions.




Implement production-grade GenAI solutions with appropriate monitoring, security, and governance.

Mandatory Skills
5–9 years of relevant experience
Strong hands-on experience in Generative AI / LLM
RAG – Mandatory
LangChain / LangGraph – Mandatory
Strong Python programming skills
Experience with LLM APIs and model integration
Hands-on experience with Vector Databases such as Pinecone, FAISS, Weaviate, Qdrant, ChromaDB, etc.
Solid understanding of embeddings, semantic search, prompt engineering, and retrieval techniques
Experience developing and deploying production-ready AI applications

Valuable to Have
Experience with AI Agents / Agentic AI
Azure OpenAI / AWS Bedrock / Vertex AI
Docker, Kubernetes, CI/CD
ML/AI model evaluation and observability
Experience with cloud-based AI deployments
Knowledge of NLP, transformers, and traditional machine learning

Ideal Candidate

We are looking for a core hands-on AI/GenAI Engineer, rather than someone with only theoretical knowledge or certification-based exposure. Candidates should have demonstrable experience in building RAG and LLM applications using Python and LangChain, preferably in production environments.

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