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Lead III - ML Engineering

UST·Bengaluru

Pay not stated9–12 yrsFull-time
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About the role

Develop, test, and optimize LLM-powered applications, including prompt engineering, context management, orchestration logic, memory frameworks, and agent-tool interactions to improve accuracy, performance, and user experience. Collaborate with architecture, cloud, and DevOps teams to implement secure, scalable, and observable AI solutions following software engineering best practices, CI/CD standards, and enterprise governance requirements.

What you'll do

  • Lead AI Developer Design, develop, and deploy Generative AI and Agentic AI applications on AWS
  • Build intelligent agents and multi-agent workflows using LangGraph, LangChain, Python, and Retrieval-Augmented Generation (RAG) patterns
  • Develop, test, and optimize LLM-powered applications, including prompt engineering, context management, orchestration logic, memory frameworks
  • Collaborate with architecture, cloud, and DevOps teams to implement secure, scalable, and observable AI solutions following software engineering best practices

What you need

  • 9–12 yrs of experience
  • Machine learning
  • Python
  • LLMs
  • AWS
  • Prompt engineering
  • CI/CD
  • Any graduate

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