Analog Devices Cloud AI Engineer 2026: Entry Level Job in Bengaluru

Writing software agents that carry out tasks on their own, then running the cloud infrastructure those agents depend on, is the core of the Analog Devices Cloud AI Engineer job in Bengaluru. The listed work spans Agentic AI projects, cloud infrastructure optimisation and AI-powered solutions. Analog Devices, Inc. (ADI) has opened it as an entry-level position under requisition R263637, with the job req type set to Graduate. The workplace is the RMZ Infinity Campus in Bengaluru, India, the position type is full-time, and the role carries 10 percent travel.

What the Cloud AI Engineer role covers

ADI describes the opening as suited to recent graduates who are interested in artificial intelligence, cloud technologies and operational excellence. The duties go well past model building. A large share of the listed work is about keeping AI systems healthy once they are already running.

The employer is a global semiconductor company listed on NASDAQ as ADI. It reported revenue of more than 11 billion dollars in FY25 and is more than 55 years old. For a fresher, the Analog Devices Cloud AI Engineer post places AI and cloud work inside a semiconductor and signal-processing business.

The responsibilities named in the posting are:

• Build and ship Agentic AI systems that run tasks on their own, take their own decisions, and interact with users and with other software.
• Build and tune cloud infrastructure on AWS, Azure or GCP so it suits AI and ML workloads.
• Set up and maintain CI/CD pipelines that automate the release of AI models and cloud services.
• Find bottlenecks, improve how resources are used, and put monitoring and alerting in place.
• Work with cross-functional teams to fit AI into products that already exist.
• Keep technical documentation current for both the AI systems and the cloud architecture.
• Join code reviews and contribute to design discussions.
• Watch AI model performance, cloud infrastructure problems and system reliability, and fix what breaks.
• Stay current with new developments in AI, ML and cloud.
• Put security best practice and compliance measures in place across the cloud and AI systems.
• Run proof-of-concept projects that test new AI frameworks and cloud services.
• Support the move of AI solutions from development into production at scale.

Agentic AI sits at the top of the requirement list

The first item under required qualifications, after the degree, is demonstrated project or coursework experience in Agentic AI, autonomous systems, LLM-based agents or AI orchestration frameworks.

Agentic AI is defined inside the posting itself. It means systems that carry out tasks without a person driving every step, take their own decisions, and talk to users and to other software. That wording is the bar the project evidence has to clear. Answering a question on demand is not the same as deciding the next step, calling tools or other services, and finishing a task end to end.

Two of the preferred qualifications connect straight to this. Large Language Models and prompt engineering are listed, and so are vector databases and retrieval-augmented generation (RAG). Vector databases store text as numeric representations, so a system can pull back the passages closest in meaning to a query. RAG is the pattern where those retrieved passages are handed to a language model before it answers, which keeps the answer tied to real documents. LangChain, named among the libraries ADI expects familiarity with, is the orchestration layer many agent projects use to wire those pieces together.

Eligibility and the graduate window

The degree requirement is a Bachelor's or Master's in Computer Science, Engineering or a related technical field. ADI states a preference for 2024 to 2026 graduates, which keeps recent passouts in scope alongside the batch finishing this year.

• Education: Bachelor's or Master's degree in Computer Science, Engineering or a related technical field.
• Batch: 2024, 2025 and 2026 graduates preferred.
• Finished coursework in AI, Machine Learning, Deep Learning or NLP.
• Practical work on at least one of AWS, Azure or GCP, shown through projects, internships or certifications.
• Project or coursework evidence in Agentic AI, autonomous systems, LLM-based agents, or AI orchestration frameworks.
• Clear written and spoken communication, plus the ability to produce readable technical documentation.
• A proven record of working in teams.

Note how the cloud requirement is worded. ADI accepts projects, internships or certifications as evidence, so paid work experience is not the only route to meeting it. Documentation ability appears twice, once among the requirements and again among the responsibilities.

The technical ground the posting expects

Python is the named language, and the AI and ML libraries listed are TensorFlow, PyTorch, scikit-learn and LangChain. On top of that sits the cloud and delivery side of the Analog Devices Cloud AI Engineer role.

CI/CD, in the way this posting uses it, is the automated path that takes an AI model or a cloud service from a code change to a running deployment without anyone doing the steps by hand. You are asked to build those pipelines and keep them working. Monitoring and alerting is the other half of the same job, and the posting pairs it with troubleshooting model performance, cloud infrastructure issues and system reliability.

The rest of the technical brief covers resource utilisation and bottleneck removal, security practice and compliance for cloud and AI systems, and scaling solutions from development into production. Proof-of-concept work on new AI frameworks and cloud services is written in as a duty, so evaluating unfamiliar tools is part of the job rather than a side task.

Preferred extras that strengthen an application

These are listed as preferred, not required, so a candidate without them can still apply for the Analog Devices Cloud AI Engineer opening.

• Containerisation with Docker and orchestration with Kubernetes.
• Infrastructure as Code using Terraform, CloudFormation or ARM templates.
• DevOps tools: Git, Jenkins, GitLab CI/CD and GitHub Actions.
• Large Language Models and prompt engineering.
• MLOps practices and model deployment.
• Cloud certifications such as AWS Certified Cloud Practitioner, Azure Fundamentals or Google Cloud Associate.
• Open-source contributions or published AI or ML research.
• Vector databases and retrieval-augmented generation.

MLOps, the practice named in that list, is the work of running machine learning models as production software: versioning them, deploying them, and tracking how they behave after release. It pairs directly with the CI/CD and monitoring duties above. Infrastructure as Code does the same for the cloud side, where servers and services are defined in files that can be reviewed and rebuilt.

Applying for this role

Applications for requisition R263637 go through the ADI careers portal. The posting does not state a closing date. Salary is not disclosed in the public posting.

Under what it offers, ADI names work on AI and cloud technology inside a semiconductor and signal-processing company, mentorship from experienced engineers and AI specialists, a collaborative work environment, and professional development with continuous learning. The posting also carries a United States export licensing review clause that applies to roles needing access to technical data.

There is no fee at any stage. ADI does not ask candidates for money to apply, to attend an interview or to join, and the only valid route to this requisition is the company's own careers portal. If someone asks you for a registration charge, a processing fee or a security deposit against this Analog Devices Cloud AI Engineer role, the request is not coming from the employer.

Related AI, cloud and engineering openings

Our engineering job listings hold the other fresher openings for BE and BTech graduates, and the 2026 engineering graduate drives page filters them to the batch passing out this year. Postgraduate applicants can look through openings for MCA and MSc holders, or go straight to this year's MCA and MSc vacancies.

Every fact above is taken from the official ADI listing for the Analog Devices Cloud AI Engineer position, which you can read and apply to on the Analog Devices careers portal.