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Full time 🤖 AI / ML

AI ML Engineer (IT Infrastructure & Operations) at Analog Devices

Listed by DevShelfHub

Bangalore, India (RMZ)
Hybrid
Mid-level · 4–6 yrs

About the Role

Analog Devices is a global semiconductor leader bridging physical and digital worlds at the Intelligent Edge. ADI is hiring an AI ML Engineer in Bangalore to build AI-powered solutions for EDA/HPC infrastructure, improving engineering productivity and automating operations.

What you'll do

  • Design and deploy enterprise-grade AI applications using Python and GenAI
  • Build AI assistants, copilots, RAG systems, and autonomous AI agents
  • Develop Agentic AI workflows for infrastructure operations
  • Implement RAG with vector databases and enterprise knowledge repositories
  • Automate troubleshooting, incident management, and root-cause analysis
  • Integrate with Linux servers, storage, networking, and monitoring tools
  • Work with AWS cloud-native AI services

What we're looking for

  • Bachelor's/Master's in CS, IT, AI, Data Science, or related field
  • 4–6 years Python and API development
  • Agentic AI applications in production environments
  • AI Chatbots, RAG systems, vector databases, AI Agents

Skills & Technologies

Required

Bachelor's/Master's in CS, IT, AI, Data Science, or related field 4–6 years Python and API development Agentic AI applications in production environments AI Chatbots, RAG systems, vector databases, AI Agents LangChain, LangGraph, n8n, AWS AgentCore Strong Linux administration; compute, storage, networking fundamentals Git-based development and CI/CD; MLOps on Azure ML or AWS SageMaker

Benefits & Perks

  • Health Insurance
  • Flexible Leave Policy
  • Learning Budget
  • EPF / NPS

Why This Role is Good for Experienced Professionals

  • Build enterprise-grade AI applications with Python and GenAI frameworks
  • Develop AI assistants, copilots, RAG systems, and autonomous AI agents
  • Build Agentic AI workflows with reasoning, planning, and tool execution
  • Integrate with EDA/HPC infrastructure: Linux, storage, networking, schedulers
  • Work with LangChain, LangGraph, n8n, AWS AgentCore
  • Leverage Claude Code, GitHub Copilot for accelerated delivery
  • Unique combination of AI engineering and infrastructure expertise
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Job Details

Type
Full time
Level
Mid-level
Experience
4–6 years
Location
Bangalore, India (RMZ)
Work Mode
Hybrid
Category
AI / ML

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