Generative AI Engineer

Tata Consultancy Services; Bengaluru; In loco; INR 1.800.000 - 2.800.000; Tempo pieno

Descrizione del lavoro

Tata Consultancy Services Bengaluru is seeking a seasoned AI engineer to design and implement agentic AI solutions using AWS Bedrock and modern LLM workflows. You will build serverless pipelines and integrate knowledge bases, while shaping prompt strategies to enable robust multi-step reasoning.

Collaborate with cross-functional teams to deliver scalable AI capabilities, leveraging LangChain, Bedrock AgentCore, and Retrieval-Augmented Generation to support real-world business use cases in a

Competenze

• Experience designing and implementing agentic AI solutions using AWS Bedrock and LLMs.
• Strong knowledge of retrieval augmented generation (RAG) and knowledge bases.
• Experience with multi-agent orchestration and cross-functional collaboration.

Mansioni

• Design and implement agentic AI solutions using AWS Bedrock, including Agents, Knowledge Bases, and Guardrails.
• Build serverless architectures with AWS Lambda, Step Functions, and EventBridge for AI agent workflows.
• Develop prompt engineering strategies (chain-of-thought, tree-of-thought, React) for multi-step reasoning.
• Integrate LangChain or Bedrock AgentCore frameworks for orchestration.
• Implement RAG workflows and knowledge bases.
• Collaborate with cross-functional teams to deliver scalable AI solutions.

Conoscenze

LLMs expertise

RAG architecture

Multi-agent frameworks

Strumenti

AWS Bedrock

Kafka

Java Spring Boot

Snowflake

SQL

Python FastAPI

LangChain

Bedrock AgentCore

Descrizione del lavoro

Must Have Skills:

• Hands-on experience with AWS Bedrock, Python FastAPI, Kafka, Java Spring Boot, Snowflake, SQL.
• Strong knowledge of LLMs, RAG architecture, and multi-agent frameworks.

Good to Have Skills:

• Knowledge on Core Python
• Knowledge on Cloud platforms, GraphQL

Responsibilities or Expectations from the Role:

• Design and implement agentic AI solutions using AWS Bedrock, including Agents, Knowledge Bases, and Guardrails.
• Build serverless architectures with AWS Lambda, Step Functions, and EventBridge for AI agent workflows.
• Develop prompt engineering strategies (chain-of-thought, tree-of-thought, React) for multi-step reasoning.
• Integrate LangChain or Bedrock AgentCore frameworks for orchestration.
• Implement RAG (Retrieval-Augmented Generation) workflows and knowledge bases.
• Collaborate with cross-functional teams to deliver scalable AI solutions.