GenAI Intern, AI/ML

Bayan Baru, MY

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

Apply at Seagate Technology

What you’ll work on

Full posting

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

From the employer’s posting

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.

What you’ll bring

All qualifications

Core experience

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.

Qualification wording

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.

Tools in this posting

Python
SQL
Azure

Source

- 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.

About Seagate Technology

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

Posting record

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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.

Status in our records: Live
First seen by us: Oct 12, 2026 · 17 days ago
Recorded sightings: 78
Last seen by us: Oct 29, 2026
Reposted: 2 times since Sep 24, 2026

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.

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Job description

View original posting ↗

About our group:

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.

About the role - you will:

Develop machine learning and Generative AI solutions to automate factory and business processes.

Design, develop, and deploy AI agents capable of reasoning, planning, and executing multi-step workflows.

Build Retrieval-Augmented Generation (RAG) applications using enterprise data, document repositories, and vector databases.

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.

Develop AI-native applications that integrate LLMs, APIs, enterprise systems, and factory data sources.

Analyze large amounts of information to discover trends, insights, and optimization opportunities.

Build predictive models, intelligent recommendation systems, and autonomous monitoring solutions.

Evaluate GenAI solutions for accuracy, relevance, hallucination risk, safety, and business impact.

Present findings and recommendations using modern data visualization and AI storytelling techniques.

About you:

Currently pursuing a degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Information Systems, or a related discipline.

Passionate about Artificial Intelligence, Machine Learning, Generative AI, and intelligent automation.

Curious and adaptable, with a strong desire to learn emerging AI technologies and frameworks.

Interested in building AI products rather than only training traditional machine learning models.

Strong analytical and problem-solving mindset.

Comfortable working with ambiguity, experimentation, and rapid prototyping.

Able to communicate technical concepts to both technical and non-technical audiences.

Familiar with Generative AI concepts including Large Language Models, prompt engineering, AI agents, RAG, vector databases, model evaluation, and Responsible AI.

Your experience includes:

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.

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.

Experience developing AI assistants, chatbots, copilots, or intelligent workflow automation solutions through projects, research, hackathons, or coursework.

Exposure to data engineering concepts including data pipelines, ETL, and knowledge management.

Experience developing, fine-tuning, or deploying GenAI solutions using open-source or cloud-based AI platforms.

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
Travel: None

Source details

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Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay: No pay amount identified in the saved description.
Location & working pattern: 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
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at seagatecareers.com ↗Read the full description ↓

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