Job Details

Job Description:

Designs and builds generative AI agents and AI platforms leveraging both local and cloud-based large language models (LLMs).
Develops AI-powered products and solutions that enable intelligent reasoning, automation, and human-AI interaction for real-world use cases.
Builds and integrates GenAI systems using local LLMs and cloud-hosted LLM services, focusing on agent orchestration, tool usage, retrieval-augmented workflows, and system-level optimization.
Collaborates closely with users and stakeholders to define requirements and deliver impactful AI solutions.
Translates AI agent logic, LLM workflows, and data pipelines into production-quality software using modern programming practices.
Responsible for end-to-end development, including implementation, testing, debugging, documentation, and deployment of AI services, tools, and platforms.

Qualifications

Required Qualifications

Open to fresh graduates or candidates with less than 2 years of working experience.
Bachelor's degree in Computer Science, Electrical/Computer Engineering, or a related field.
Basic understanding of generative AI and large language models (LLMs).
Exposure to local LLMs (e.g., Llama, Mistral) or cloud-based LLM APIs through coursework, projects, or internships.
Familiarity with building simple AI agents, chatbots, or LLM-based applications via academic or personal projects.
Programming experience in Python and/or C/C++.
Interest in AI agents, GenAI platforms, and real-world AI applications.
Strong problem-solving skills and willingness to learn new technologies.
Good communication skills and ability to work in a team environment.

Preferred Qualifications

Experience with frameworks and ecosystems such as LangChain, LlamaIndex, AutoGen, Hugging Face, and related APIs.
Knowledge of Retrieval-Augmented Generation (RAG), vector databases (e.g., FAISS, Chroma), and embedding-based search.
Experience with prompt engineering and/or UX/UI considerations to improve human-AI interaction.
Familiarity with deploying, scaling, and optimizing AI agent platforms across local and cloud environments.
Qualification requirements may be met through academic coursework, community projects, or on-the-job experience.

Job Type

College Grad

Shift

Shift 1 (Malaysia)

Primary Location:

Malaysia, Penang

Additional Locations:

Business Group

The Client Computing Group (CCG) is responsible for driving business strategy and product development for Intel's PC products and platforms, spanning form factors such as notebooks, desktops, 2 in 1s, all in ones. Working with our partners across the industry, we intend to deliver purposeful computing experiences that unlock people's potential - allowing each person use our products to focus, create and connect in ways that matter most to them.

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

GenAI Software Solutions Engineer