Senior Agentic AI Data Scientist

Net Connect; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Net Connect is seeking a Senior Agentic AI Data Scientist in Bengaluru to design, build, and deploy cutting-edge Generative AI and Agentic AI systems. You will work on enterprise-grade AI applications powered by LLMs, and implement scalable backend services using Python, FastAPI, LangChain, and LangGraph.

As part of a dynamic team, you’ll optimize retrieval systems, containerize apps with Docker and Kubernetes, and collaborate with clients, spending four days a week at the client office in

Qualifications

• 6-9 years of experience in AI roles, with 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 designing scalable backend systems.
• Expertise in LangChain, LangGraph, and FastAPI for AI development.
• Experience with Docker and Kubernetes for cloud-native deployment.

Responsibilities

• Design and build advanced Agentic AI systems using 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 for text, images, audio, and video.
• 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.

Skills

Large Language Models

Generative AI

Python

LangChain

LangGraph

FastAPI

Docker

Kubernetes

Agentic AI

GenAI

Tools

LangChain

LangGraph

Job description

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.