Role & responsibilities

- Design, develop, and implement AI/ML models using Python.

- Build Generative AI applications using LLMs and prompt engineering techniques.

- Develop RAG pipelines for document processing, semantic search, and knowledge retrieval.

- Implement NLP solutions such as text classification, entity extraction, summarization, and conversational AI.

- Work with frameworks such as LangChain, LangGraph, or LlamaIndex.

- Integrate vector databases and embedding models for semantic search and retrieval.

- Fine-tune, evaluate, and optimize ML models and LLM-based applications.

- Deploy and monitor AI solutions using APIs, cloud platforms, and MLOps practices.

- Collaborate with engineering and business teams to deliver reliable,



scalable AI solutions.

Preferred candidate profile

- Strong programming experience in Python.

- Hands-on experience in Machine Learning and Deep Learning.

- Practical knowledge of NLP and Generative AI.

- Experience working with LLMs such as GPT, Llama, or similar models.

- Strong understanding of RAG architecture, embeddings, vector search, and retrieval pipelines.

- Experience with frameworks such as LangChain, LangGraph, or LlamaIndex.

- Familiarity with REST APIs, Git, and model deployment.

Perks and advantages

📌 Ai Ml Engineer (Chennai)
🏢 Intellect Design Arena
📍 Chennai