AI ML Engineer (IT Infrastructure & Operations)
Company: Analog Devices Asia Pacific
Location: India, Bangalore, RMZ
Type: Full-time
Posted: 2026-08-10
About this role
About Analog Devices
Analog Devices, Inc. (NASDAQ: [ADI](https://finance.yahoo.com/quote/ADI/?ltr=1)) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, AI, and software technologies into solutions that combat climate change, reliably connect humans and the world, and help drive advancements in automation and robotics, mobility, healthcare, energy and data centers. With revenue of more than $11 billion in FY25, ADI ensures today's innovators stay Ahead of What's Possible. Learn more at [www.analog.com](https://www.analog.com/en.html) and on [LinkedIn](https://www.linkedin.com/company/analog-devices) and [X](https://x.com/ADI_News).
Position Summary
We are seeking a highly motivated AI Engineer with 4–6 years of experience in software development, Generative AI, and infrastructure automation. The ideal candidate will work closely with the EDA/HPC Infrastructure team, building AI-powered solutions that improve engineering productivity, automate operations, accelerate troubleshooting, and optimize compute infrastructure supporting semiconductor design workloads.
This role requires a unique combination of Python development expertise, Generative AI engineering, AI Agent development, and strong infrastructure knowledge across compute, storage, networking, Linux, cloud (AWS), and on-premises environments.
Key Responsibilities
- Design, develop, and deploy enterprise-grade AI applications using Python and modern Generative AI frameworks.
- Build and maintain AI-powered assistants, copilots, RAG systems, and autonomous AI agents for infrastructure and engineering operations use cases.
- Develop Agentic AI workflows capable of reasoning, planning, tool execution, remediation, and workflow orchestration.
- Implement Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.
- Develop automation workfl...