We are looking for an experienced AI/ML Engineer with expertise in Generative AI, Agentic AI, Large Language Models (LLMs), and AWS AI Services. The ideal candidate will design, develop, and deploy enterprise-grade AI solutions using Amazon Bedrock, SageMaker, Lambda, LangChain, and LangGraph while building intelligent applications powered by foundation models such as Claude.

The candidate should possess strong hands-on experience in prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent orchestration, model evaluation, and cloud-native AI architectures.

Key Responsibilities

- Design and deploy scalable AI/ML and Generative AI solutions on AWS.
- Develop Agentic AI applications using LangChain and LangGraph.
- Build multi-agent workflows and orchestration frameworks.
- Develop LLM-powered applications using Claude and other foundation models.
- Implement prompt engineering, RAG, embeddings, and model evaluation frameworks.
- Integrate AI services with enterprise applications and APIs.
- Build secure, scalable, and high-performance AI systems.




- Collaborate with business and engineering teams to define AI use cases and architectures.
- Provide technical guidance and mentorship on AI/ML best practices.
- Drive AI innovation through adoption of emerging tools and frameworks.

Required Skills

- 5-10 years of AI/ML engineering experience.

- Strong expertise in

- Amazon Bedrock

- SageMaker

- AWS Lambda

- Python
- Hands-on experience with:

- LangChain

- LangGraph

- Agentic AI Frameworks

- Solid knowledge of

- LLMs

- Prompt Engineering

- RAG

- Model Evaluation
- Experience integrating AI solutions with enterprise systems and APIs.
- Understanding of AI security, governance, and performance optimization.
- Experience working in Agile environments.

Preferred Skills

- Vector Databases (Pinecone, FAISS, OpenSearch).
- Multi-Agent Architectures.
- MLOps & LLMOps.
- Responsible AI Frameworks.
- AI Governance.
- AWS AI/ML Certifications.

📌 AI/ML Engineer (Generative AI & Agentic AI) (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru