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 up-to-date 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.

📌 AI/ML Engineer_Generative AI, Agentic Systems & MLOps_XP:6+_ Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru