Graduate Talent (Software Application Development Engineer)

AI in this role

Graduate Talent Software Application Development Engineer focusing on enterprise applications, data engineering, and AI-enabled solutions at Intel.

vector-databasesllmsmcpagentic-aidata-warehouses

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Job Details:

Job Description:

At Intel, we are at the forefront of innovation, creating world-changing technology that improves the lives of people around the globe. This opportunity is designed for fresh graduates and early-career professionals who are ready to apply their technical skills to real-world business challenges, learn rapidly, and make a meaningful impact. Business Group Global Information Technology (GIT) is a team of technology professionals providing solutions and services to Intel's Engineering, Manufacturing, Sales, Marketing, and Corporate teams. We partner with our customers to solve complex business problems, improve operational efficiency, and deliver innovative solutions through data, automation, software engineering, and AI. The Role and Impact The Graduate Talent Program provides an opportunity to apply your academic knowledge to real-world industry challenges while gaining hands-on experience in software development, data engineering, data platforms, and AI-enabled solutions. As a Software Application Development Engineer, you will work with a cross-functional Agile team to design, develop, test, and enhance enterprise applications and data-driven solutions. You will have opportunities to work with modern technologies involving Data Engineering, Data Warehousing, AI, Vector Databases, Model Context Protocol (MCP), and Agentic AI workflows, while learning how these technologies are applied to solve real business and engineering problems at scale. If you enjoy building software, working with data, experimenting with emerging AI technologies, and continuously looking for better ways to solve problems, we would like to hear from you. Key Responsibilities - Design, develop, test, and support enterprise applications, data solutions, and AI-enabled capabilities. - Develop and maintain data pipelines and data engineering workflows to enable analytics and AI use cases. - Work with data warehouses and modern data platforms to organize, transform, and make data accessible for downstream applications. - Explore and implement solutions using Vector Databases, MCP, Large Language Models (LLMs), and Agentic AI workflows. - Develop automation and improve the reliability, scalability, and maintainability of applications and data solutions. - Collaborate with cross-functional teams to solve technical challenges and improve business and engineering processes. - Participate in Agile development practices, including design, development, testing, deployment, and operational support. - Document architectures, processes, tools, and solutions to promote effective knowledge sharing. - Continuously learn and experiment with emerging technologies in software engineering, data engineering, and AI.

Qualifications:

Minimum Qualifications:

- Currently pursuing or recently completed a Bachelor's degree in Information Technology, Information Systems, Computer Science, Computer Engineering, Software Engineering, Data Science, or a related STEM discipline.
- Good foundation in software engineering and application development.
- Knowledge of Data Engineering, including data ingestion, transformation, data pipelines, and ETL/ELT concepts.
- Understanding of Data Warehousing concepts, data modeling, and analytical data structures.
- Familiarity with AI/Generative AI concepts and Large Language Models (LLMs).
- Understanding of Vector Databases and vector-based information retrieval.
- Familiarity with Model Context Protocol (MCP) and its use in AI-enabled applications.
- Understanding of Agentic AI workflows, including the use of AI agents, tools, and multi-step workflows.
- Experience or knowledge of MEAN stack or similar modern web application development technologies.
- Strong analytical and problem-solving skills.
- Good communication and interpersonal skills with the ability to collaborate across diverse, global teams.
- Eagerness to learn, experiment, and adapt in a fast-paced technology environment.
- Basic understanding of DevOps practices and IT service management concepts.
- Open to a minimum one-year contract-based role.

Preferred / Nice-to-Have Skills:
- Programming experience with Python, JavaScript/TypeScript, SQL, or similar languages.
- Exposure to cloud platforms and cloud-native application development.
- Experience building data pipelines or working with structured and unstructured datasets.
- Hands-on experience with Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or LLM-based applications.
- Experience with Git, CI/CD, APIs, containers, or modern software development practices.

Job Type:

Intel Contract Employee

Shift:

Shift 1 (Malaysia)

Primary Location:

Malaysia, Penang

Additional Locations:

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.

How we rate this

Graduate Talent (Software Application Development Engineer) at Intel rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Graduate Talent (Software Application Development Engineer) is an open job at Intel.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Malaysia, Penang.
The job was posted on October 7, 2026.
Seniority: junior.
Applications are handled by Intel. Apply on Intel

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGAI agentsVector databasesLLMsMcpAgentic AIData Warehouses

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
What are the limits of Vector databases that you've run into, and how did you work around them?
What's a project where you used LLMs hands-on?
Walk me through how you've used Mcp in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI agents, Vector databases, LLMs, and Mcp. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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