AI/ML Engineer (Generative AI & Agentic AI)

Tata Consultancy Services Limited; Hyderabad, Bengaluru; Presencial; INR 1 800 000 - 2 800 000; Tempo integral

Resumo da oferta

Tata Consultancy Services Limited is seeking an experienced AI/ML Engineer to design, develop and deploy enterprise-grade AI solutions on AWS. You will build Agentic AI applications using LangChain and LangGraph, create multi-agent workflows, and implement prompt engineering, RAG, and model evaluation across foundation models such as Claude.

The role requires 5-10 years in AI/ML, hands-on AWS Bedrock, SageMaker and Lambda, and strong Python skills.

Qualificações

• 5-10 years of AI/ML engineering experience.
• Strong expertise in AWS AI services and LLMs.
• Hands-on with LangChain, LangGraph and agentic AI tooling.
• Experience with prompt engineering, RAG and model evaluation.
• Ability to design cloud-native AI architectures and APIs.

Responsabilidades

• 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 evaluation frameworks.
• Integrate AI services with enterprise systems and APIs.
• Build secure, scalable, and high-performance AI systems.
• Collaborate with business and engineering teams to define AI use cases.
• Provide technical guidance and mentorship on AI/ML best practices.
• Drive AI innovation with emerging tools and frameworks.

Ferramentas

Amazon Bedrock

SageMaker

AWS Lambda

LangChain

LangGraph

Agentic AI Frameworks

Descrição da oferta de emprego

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
• Strong 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.