Senior Agentic AI Data Scientist

Key Responsibilities

- Design and build advanced Agentic AI systems using frameworks such as LangChain and LangGraph.
- Implement agent orchestration patterns including ReAct, ReWoo, LLM Compiler, and autonomous workflows.
- Develop enterprise-grade AI applications powered by Large Language Models (LLMs).
- Build Retrieval Augmented Generation (RAG) solutions capable of processing text, images, audio, and video data.
- Optimize vector search and knowledge retrieval pipelines for large-scale datasets.
- Develop scalable AI services and APIs using FastAPI and integrate with enterprise applications.
- Deploy containerized AI applications using Docker and Kubernetes, ensuring production readiness.

Overview

- a leading enterprise AI company is a leading global enterprise AI company committed to empowering human decision-making through advanced AI solutions.
- With a workforce of over 5,000 professionals across numerous countries, a leading enterprise AI company is renowned for its innovative contributions to the AI field, including foundational AI advancements and agentic systems.
- The role of Senior Agentic AI Data Scientist at a leading enterprise AI company involves designing, building, and deploying cutting-edge AI applications, specifically in the realm of Generative AI and Agentic AI systems.
- As part of a dynamic team, you'll contribute to the development of large-scale AI solutions, leveraging technologies like Large Language Models and multi-modal retrieval systems.
- This position is based in Bangalore, where you'll collaborate closely with clients, working from the client office four days a week.
- Candidates should have a strong passion for innovation and a deep understanding of AI systems to excel in this role.
- The Senior Agentic AI Data Scientist will play a critical role in enhancing a leading enterprise AI company's AI capabilities, focusing on enterprise and automotive use cases.
- This role offers an exciting opportunity to work on cutting-edge AI initiatives, enabling interconnected decisions for revenue growth.

Requirements

- 6-9 years of experience in AI roles, with at least 2-3 years in Agentic AI and GenAI systems.
- Strong hands-on experience with Large Language Models and Generative AI applications.
- Proficiency in Python and experience in designing scalable backend systems.
- Expertise in frameworks such as LangChain, LangGraph, and FastAPI for AI development.
- Experience with cloud-native deployment concepts and tools such as Docker and Kubernetes.
- Strong problem-solving skills and ability to work in a fast-paced, innovation-driven environment.