AI/ML Engineer

Tata Consultancy Services; Indore District; On-site; INR 1,100,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in Indore is seeking an AI-ML Engineer with 4-6 years of experience to design, develop, and deploy enterprise GenAI applications. You will build AI-powered assistants, copilots, and document intelligence systems, leveraging AWS Bedrock and LangChain/LangGraph for orchestration.

You will implement autonomous agents, data ingestion pipelines, and PySpark ETL workflows to process large-scale documents and structured data, while shaping prompt engineering strategies for

Qualifications

• Experience with large language models and enterprise AI deployments.
• Hands-on with GenAI workflows and prompt optimization strategies.
• Familiarity with agent-based systems and orchestration frameworks.
• Knowledge of data ingestion, ETL, and large-scale document processing.

Responsibilities

• Design and deploy enterprise GenAI apps using LLMs.
• Develop AI assistants, copilots, and workflow automation solutions.
• Build production GenAI apps with AWS Bedrock and foundation models.
• Implement model orchestration for complex reasoning tasks.
• Design AI systems for structured and unstructured data.
• Develop multi-agent systems with LangGraph/LangChain/CrewAI.
• Create autonomous AI agents for planning, reasoning, and collaboration.
• Build agent orchestration for business processes.
• Create scalable data ingestion pipelines for varied data sources.
• Develop ETL workflows using Python and PySpark for large documents.
• Process PDFs, Word docs, emails, and enterprise knowledge sources.
• Develop prompt templates and reusable libraries; tune prompts.
• Create advanced prompt engineering strategies for business use cases.

Skills

LLMs

Generative AI

Prompt engineering

Agent systems

Distributed data processing

Tools

AWS Bedrock

LangChain

LangGraph

PySpark

Job description

Role: AI-ML Engineer

Experience; 4 - 6 yrs

locaation: Indore

Responsibilities

• Design, develop, and deploy enterprise-scale Generative AI applications using Large Language Models (LLMs).
• Develop AI-powered assistants, copilots, document intelligence systems, and workflow automation solutions.
• Build production-ready GenAI applications leveraging AWS Bedrock and foundation models.
• Implement model orchestration frameworks for complex reasoning and task execution.
• Design AI systems capable of handling structured and unstructured enterprise data.
• Design and implement intelligent Multi-Agent Systems using LangGraph, LangChain, CrewAI, or similar frameworks.
• Develop autonomous AI agents capable of task planning, execution, reasoning, and collaboration.
• Build agent orchestration frameworks for business process automation.
• Build scalable data ingestion pipelines for structured, semi-structured, and unstructured data sources.
• Develop ETL workflows using Python and PySpark for large-scale document processing.
• Process PDFs, Word documents, emails, websites, and enterprise knowledge repositories.
• Design advanced prompt engineering strategies for business-specific use cases.
• Develop prompt templates and reusable prompt libraries.
• Perform prompt tuning and contextual optimization.