Senior Data Scientist - Agentic AI & LLMs

Job Title: Senior Data Scientist Agentic AI, LLMs & RAG

Location: Delhi NCR (Gurugram/Noida) & Bengaluru

Type: Permanent Full-Time

Experience: 4+ Years

About the Role

We are seeking a highly skilled Senior Data Scientist with expertise in Agentic AI, Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG). The ideal candidate will be responsible for building intelligent AI agents, developing enterprise-grade GenAI solutions, and deploying scalable AI systems that drive business transformation and automation.

Mandatory Skills

• 4+ years of experience in Data Science, Machine Learning, or Artificial Intelligence
• Strong proficiency in Python
• Hands-on experience with LLMs (GPT, Claude, Gemini, Llama, Mistral, etc.)
• Experience building RAG-based applications
• Expertise in Agentic AI frameworks such as LangGraph, CrewAI, AutoGen, or similar
• Strong Prompt Engineering skills
• Experience with Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus, etc.)
• Strong understanding of NLP and Machine Learning concepts
• Proficiency in SQL
• Experience deploying AI/ML applications in production
• Exposure to AWS, Azure, or GCP

Role & Responsibilities

• Design, develop, and deploy Agentic AI and Generative AI solutions.
• Build intelligent AI agents capable of reasoning, planning, and autonomous task execution.
• Develop and optimize RAG pipelines for enterprise-scale applications.
• Integrate LLMs with enterprise systems, APIs, and knowledge bases.
• Implement vector search and embedding-based retrieval systems.
• Engineer prompts and optimize LLM performance for business use cases.
• Evaluate, benchmark, and improve GenAI application performance.
• Collaborate with cross-functional teams to identify AI-driven opportunities.
• Ensure scalability, reliability, security, and governance of AI solutions.
• Stay updated with advancements in Agentic AI, LLMs, and emerging AI technologies.

Preferred Skills

• Experience with LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel
• Knowledge of LLM fine-tuning, LoRA, PEFT, and model optimization
• Experience with Docker, Kubernetes, and MLOps practices
• Exposure to AI observability and evaluation frameworks
• Experience building AI Assistants, Copilots, Chatbots, or Autonomous Agent Systems