Bayan Baru, MY
Likely evergreen, first seen by us 32 days agoCurrently pursuing a degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, or a related discipline
Build RAG applications over enterprise documents and vector databases
Design and deploy AI agents that run multi-step workflows
Create prompt workflows, templates, and LLM evaluation frameworks
Collect and preprocess structured and unstructured data for analysis
Build predictive models and recommendation systems
Build Retrieval-Augmented Generation (RAG) applications using enterprise data, document repositories, and vector databases.
Design, develop, and deploy AI agents capable of reasoning, planning, and executing multi-step workflows.
Create prompt workflows, prompt templates, and evaluation frameworks for Large Language Models (LLMs).
Undertake data collection, preprocessing, feature engineering, and analysis of structured and unstructured data.
Build predictive models, intelligent recommendation systems, and autonomous monitoring solutions.
Knowledge of machine learning algorithms, deep learning, and Generative AI concepts.
Experience with Python, SQL, and software development practices.
Familiarity with APIs, JSON, and modern application architectures.
Understanding of prompt engineering, function or tool calling, AI agent design patterns, RAG, vector search and embeddings, and LLM evaluation techniques.
Experience developing AI assistants, chatbots, copilots, or intelligent workflow automation solutions through projects, research, hackathons, or coursework.
Experience developing, fine-tuning, or deploying GenAI solutions using open-source or cloud-based AI platforms.
We are a team of Information Technology professionals at Seagate responsible for creating and implementing data-driven solutions that support business decisions and factory operations.
In the employer’s words · Read in context
Likely evergreenReposted 2 times since Sep 24, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
Day 32
Similar jobs usually come down between day 4 and day 77.
At Seagate Technology, jobs usually come down by about day 35.
From 51 similar postings that came down, and 44 of Seagate Technology’s. Coming down is not always a hire.
27 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Knowledge of machine learning algorithms, deep learning, and Generative AI concepts. - Experience with Python, SQL, and software development practices. - Familiarity with APIs, JSON, and modern application architectures.
- Familiarity with APIs, JSON, and modern application architectures. - Exposure to Generative AI platforms or frameworks such as OpenAI, Azure OpenAI, LangChain. - Understanding of prompt engineering, function or tool calling, AI agent design patterns, RAG, vector search and embeddings, and LLM evaluation techniques.
Complete your application on seagatecareers.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other GenAI Intern, AI/ML jobs there since September 2026. All 2 are still up.
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
We are a team of Information Technology professionals at Seagate responsible for creating and implementing data-driven solutions that support business decisions and factory operations. We apply Artificial Intelligence, Machine Learning, and Generative AI to enable real-time analysis, predictive insights, intelligent automation, and optimized production processes. Working closely with business and engineering teams, we harness Industry 4.0 capabilities including real-time control, IoT, Big Data and Analytics, automation, and AI to advance smart factory initiatives and maximize operational excellence.
Our Penang office is located in Suntech at Cybercity, easily accessible via public transportation. Enjoy amenities such as an on-site gym, ping-pong and badminton facilities, and a café serving breakfast, lunch, and coffee. Prefer dining out? A public food court across the street offers a variety of delicious options.
Location: Penang Malaysia Suntech
Travel: None
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No pay amount identified in the saved description.
Bayan Baru, MY
Location: Our Penang office is located in Suntech at Cybercity, easily accessible via public transportation. Enjoy amenities such as an on-site gym, ping-pong and badminton facilities, and a café serving breakfast, lunch, and coffee. Prefer dining out? A public food court across the street offers a variety of delicious options. Location: Penang Malaysia Suntech
No clear work-authorization passage found. Eligibility is unconfirmed.