Job Description : 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 strong 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.

- Strong understanding of embeddings, semantic search, prompt engineering, and retrieval techniques

- Experience developing and deploying production-ready AI applications

Good 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.