We are looking for an exceptionally robust Senior Data Scientist specializing in Generative AI, Agentic AI, and NLP to design and build next-generation AI systems capable of autonomous reasoning, planning, tool usage, and workflow orchestration. The ideal candidate should possess a deep understanding of LLMs, Agentic Frameworks, RAG architectures, and production-grade AI deployment.

This role requires someone who can move beyond traditional prompt engineering and build enterprise-scale AI agents that can interact with tools, APIs, databases, and business systems while maintaining reliability, observability, security, and governance standards.
The candidate will collaborate closely with business stakeholders, product teams, architects, and engineering teams to solve complex business problems using cutting-edge AI technologies.

Core Requirements:
Experience in Data Science, Machine Learning, NLP, or AI Engineering.
Strong proficiency in Python and contemporary AI development ecosystems.
Expertise in libraries and frameworks such as:
PyTorch
TensorFlow
Hugging Face




LangChain
LlamaIndex
NumPy
Pandas
Strong understanding of software engineering fundamentals including APIs, microservices, testing, Git, and containerization.
Hands-on experience deploying AI applications into production environments.
Robust understanding of distributed systems, scalability, performance optimization, and cloud-native architectures.

Generative AI (Must Have)
Hands-on experience working with Open Source LLMs such as:
Llama
Qwen
Mistral
Gemma or
Granite
Strong understanding of:
Embeddings
Semantic Search
Hybrid Search
RAG Architectures
Context Engineering
Knowledge Grounding
Experience with prompt engineering, evaluation methodologies, and optimization strategies.
Experience with vector databases and retrieval systems.
Familiarity with model serving technologies such as vLLM, Ollama, TGI, TensorRT-LLM, or equivalent.
Exposure to multimoda

📌 Manager Genai Engineer Bengaluru (India)
🏢 HDFC Life
📍 India