AI ML Engineer (IT Infrastructure & Operations)

Posted 8 Days Ago
Bangalore, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Artificial Intelligence • Hardware • Automation • Manufacturing
The Role
Design, build, and deploy production Generative AI solutions (chatbots, RAG, agentic workflows) integrated with EDA/HPC infrastructure. Automate operations, troubleshooting, and orchestration across Linux, cloud (AWS), storage, networking, schedulers, and monitoring systems. Implement vector DBs, APIs, CI/CD, monitoring, and governance for enterprise AI applications.
Summary Generated by Built In

About Analog Devices

Analog Devices, Inc. (NASDAQ: ADI) 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 and on LinkedIn and X.

          

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 workflows using tools such as n8n and integrate them with enterprise systems and APIs. 
  • Collaborate with EDA/HPC infrastructure engineers to automate troubleshooting, incident management, root-cause analysis, and operational workflows. 
  • Integrate AI solutions with infrastructure platforms including Linux servers, storage systems, networking components, schedulers, and monitoring tools. 
  • Develop APIs, backend services, and integrations supporting AI applications. 
  • Work with cloud-native AI services and infrastructure on AWS. 
  • Implement monitoring, logging, testing, and governance controls for production AI systems. 
  • Leverage AI developer productivity tools such as Claude Code, GitHub Copilot, and similar coding assistants to accelerate solution delivery. 
  • Participate in architecture reviews, design discussions, and technology evaluations. 

Required Qualifications 

  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. 
  • 4–6 years of professional software development experience with Python and API development 
  • Hands-on experience designing and building Agentic AI applications in production environments and enterprise grade solutions. 
  • Proven experience developing:  
  • AI Chatbots 
  • Retrieval-Augmented Generation (RAG) systems 
  • Experience with vector databases and semantic search optimizations. 
  • AI Agents 
  • Multi-Agent / Agentic AI systems 
  • Experience with frameworks and libraries including LangChain, LangGraph, n8n, AWS AgentCore 
  • Strong Linux administration and scripting knowledge. 
  • Sound understanding of Compute infrastructure, Enterprise storage technologies, Networking fundamentals, Distributed systems 
  • Familiarity with Git-based development workflows and CI/CD processes. 
  • Experience training ML model with MLOps methodology and working in cloud platforms such as Azure ML Workspace, AWS Sagemaker 

Soft Skills

  • Strong troubleshooting, analytical, and problem-solving skills.
  • Effective communication and teamwork skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Customer-focused mindset.
  • Experience with project management is a plus.

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

Skills Required

  • Bachelor's or Master's degree in Computer Science, IT, AI, Data Science or related field.
  • 4-6 years professional software development experience with Python and API development.
  • Hands-on experience designing and building Agentic AI applications in production.
  • Experience developing AI chatbots.
  • Experience building Retrieval-Augmented Generation (RAG) systems.
  • Experience with vector databases and semantic search optimizations.
  • Experience developing AI Agents and Multi-Agent/Agentic AI systems.
  • Experience with frameworks and libraries including LangChain, LangGraph, n8n, and AWS AgentCore.
  • Strong Linux administration and scripting knowledge.
  • Sound understanding of compute infrastructure, enterprise storage technologies, networking fundamentals, and distributed systems.
  • Familiarity with Git-based development workflows and CI/CD processes.
  • Experience training ML models with MLOps methodology and working in cloud platforms such as Azure ML Workspace and AWS SageMaker.

Analog Devices Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Analog Devices and has not been reviewed or approved by Analog Devices.

  • Retirement Support The 401(k) program is described as a standout feature, with company contribution up to 8% of base salary and immediate vesting. This structure strengthens long-term value even when cash compensation perceptions vary.
  • Healthcare Strength Health coverage is positioned as comprehensive, including medical, dental, and vision options along with disability and life insurance. Day-one eligibility and multiple plan choices add to perceived robustness.
  • Leave & Time Off Breadth Paid time off appears broad, with vacation ranging from roughly 17–25 days and increasing up to five weeks with tenure, alongside sick time and paid holidays. Parental leave and related time-off provisions further expand coverage.

Analog Devices Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Wilmington, MA
20,292 Employees
Year Founded: 1965

What We Do

Analog Devices, Inc. (NASDAQ: ADI) operates at the center of the modern digital economy, converting real-world phenomena into actionable insight with its comprehensive suite of analog and mixed signal, power management, radio frequency (RF), and digital and sensor technologies. ADI serves 125,000 customers worldwide with more than 75,000 products in the industrial, communications, automotive, and consumer markets. ADI is headquartered in Wilmington, MA.

Similar Jobs

Atlassian Logo Atlassian

Principal Software Engineer

Cloud • Information Technology • Productivity • Security • Software • App development • Automation
In-Office or Remote
Bengaluru, Bengaluru Urban, Karnataka, IND
11000 Employees

Motive Logo Motive

Human Resource Business Partner

Artificial Intelligence • Fintech • Hardware • Information Technology • Sales • Software • Transportation
Easy Apply
In-Office
Bangalore, Bengaluru Urban, Karnataka, IND
4000 Employees

Expedia Group Logo Expedia Group

Data Engineer

AdTech • eCommerce • Information Technology • Software • Travel • Generative AI
Hybrid
Bangalore, Bengaluru Urban, Karnataka, IND
16000 Employees

CSC Logo CSC

Accountant

Fintech • Legal Tech • Software • Financial Services • Cybersecurity • Data Privacy
Hybrid
Bangalore, Bengaluru Urban, Karnataka, IND
8500 Employees

Similar Companies Hiring

Legora Thumbnail
Artificial Intelligence • Legal Tech • Software
New York, New York
700 Employees
Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account