AI/ML Engineer_Generative AI, Agentic Systems & MLOps_XP:6+_ Bengaluru

Tata Consultancy Services; Bengaluru; On-site; INR 2,600,000 - 3,800,000; Full time

Job summary

Tata Consultancy Services seeks an AI/ML Engineer to design and deploy enterprise-grade Generative AI and Agentic AI solutions in a cloud-native environment. You will build scalable AI agents, orchestrate workflows, and develop RAG-based applications on Azure ML and Databricks.

You will implement MLOps practices, CI/CD pipelines, model monitoring, and collaborate with cross-functional teams to deliver secure and reliable AI products.

Qualifications

• 5-7 years of experience in AI/ML, Software Engineering, or related domains.
• Strong proficiency in Python and modern software development practices.
• Hands-on experience with LLMs, Prompt Engineering, RAG, and AI Agent frameworks.
• Experience with Azure ML, Databricks, Git, and CI/CD tools.

Responsibilities

• Design, develop, and deploy enterprise-scale Generative AI and Agentic AI solutions.
• Build AI agents and intelligent workflows using modern orchestration frameworks.
• Develop RAG-based applications leveraging LLMs such as GPT, Claude, and Llama.
• Create scalable APIs and cloud-native AI solutions on Azure ML and Databricks.
• Implement MLOps practices, CI/CD pipelines, and model monitoring.
• Collaborate with cross-functional teams to deliver secure, reliable, and high-quality AI products.

Skills

Python

Generative AI

LLMs

Agentic AI

RAG

Azure ML

Databricks

MLOps

REST APIs

CI/CD

Tools

Git

CI/CD tools

Job description

AI/ML Engineer | Generative AI, Agentic Systems & MLOps

Location: Bengaluru | Experience: 5-7 Years | Employment Type: Full Time

Skills

• Python
• Generative AI
• Large Language Models (LLMs)
• Agentic AI (LangGraph, CrewAI, AutoGen)
• Retrieval-Augmented Generation (RAG)
• Azure Machine Learning
• Databricks
• MLOps
• REST APIs
• Jenkins, Git & CI/CD

Responsibilities

• Design, develop, and deploy enterprise-scale Generative AI and Agentic AI solutions.
• Build AI agents and intelligent workflows using modern orchestration frameworks.
• Develop RAG-based applications leveraging LLMs such as GPT, Claude, and Llama.
• Create scalable APIs and cloud-native AI solutions on Azure ML and Databricks.
• Implement MLOps practices, CI/CD pipelines, and model monitoring.
• Collaborate with cross-functional teams to deliver secure, reliable, and high-quality AI products.

Required Experience

• 5-7 years of experience in AI/ML, Software Engineering, or related domains.
• Strong proficiency in Python and modern software development practices.
• Hands-on experience with LLMs, Prompt Engineering, RAG, and AI Agent frameworks.
• Experience with Azure ML, Databricks, Git, and CI/CD tools.