Get to Know the Team

The ACE team is responsible for all of food, mart, dine out and reservation business. We use a microservice architecture in backend, and frontend tech stack use including (iOS, ADR, Flutter and Web). We often do platform abstraction to support our new our requirements to go online faster.

Get to Know the Role

This role is for supermarket product testing and is required because we are supporting our fast-growing business. You will report to the QA Engineering Manager II and be based at Petaling Jaya, Malaysia.

The Critical Tasks You Will Perform

• You will define test plans, test specifications, test suites, test cases and proposed tools for functional, security and performance testing
• You will understand the product/feature in-depth from the end-user point of view and the underlying implementation.
• You will work with the Product Manager, Frontend, and Backend developers to understand the feature and the implementation to build feature tests and impacted feature test cases.
• You will debug failed test cases by analyzing logs and API responses and report bugs with details. Follow-up on bugs to closure.
• You will maintain UI (Web, Mobile app) and API automation suites. Debug and correct script and data issues in automation suites.
• You will understand automation framework and add automation test cases for the new features and regression test cases

Get to Know the Team

The DevTools Team builds and hosts internal platforms that help thousands of Grab engineers measure, monitor, and improve how they build software. Our flagship product, Engineering 360, is Grab's unified metrics platform — the single place where engineering leaders and individual engineers track productivity, code quality, system stability, and DORA signals across the company.

Get to Know the Role

We are seeking a Full Stack Developer Intern to work closely with our development team on building and maintaining Engineering 360 and related internal platforms. As part of this role, you will be exposed to both front-end and back-end development. Our tech stack includes React and JavaScript/TypeScript in Front-end, and Golang on the Backend. Apart from this, you will also be exposed to managing and building data streams and pipelines that power engineering metrics across Grab.

This is a fully onsite role, that will be based in our office at Petaling Jaya

The Critical Tasks You Will Perform

• You will work with the development team to build and maintain our internal engineering platforms.
• You will participate in the full software development lifecycle, from requirements gathering to deployment and maintenance. We follow an agile methodology with a 2-week Sprint.
• You will write clean, maintainable, and efficient code.
• You will troubleshoot and debug web applications and data pipelines.
• You will participate in code reviews and provide constructive feedback to other team members.

Get to Know the Team

You will be joining the Metadata & BI Platforms team within Grab's Data Engineering Platforms department. The team builds and maintains the systems that power Grab's data intelligence: Hubble (data discovery platform), Genchi (data observability platform), Superset and Power BI (business intelligence platforms), and the Data Agent (agentic analytics platform).

We work at the intersection of data engineering and AI, building systems that help thousands of internal users across Grab discover, understand, and act on data. The team is passionate about applying the latest AI advances to make data more accessible, intelligent, and useful at scale.

Get to Know the Role

As an AI Engineer Intern, you will contribute to building and improving AI-powered data platforms that make data discovery, observability, and analytics smarter and more intuitive at Grab. You will get hands-on experience building production-grade systems — from LLM integrations and agentic workflows to vector search pipelines — alongside engineers who ship AI features at scale.

This is a high-impact role where your contributions will be used by real internal users across the company. You will work in a fast-paced, collaborative environment with mentorship from experienced engineers, gaining exposure to the full AI product development lifecycle from design to deployment.

The Critical Tasks You Will Perform

• You will design and implement backend services and APIs that support AI-driven data platform features.
• You will integrate LLM APIs into platform workflows to enable intelligent automation and natural-language capabilities.
• You will contribute to building and orchestrating agentic systems (e.g., using LangGraph) for use cases such as data troubleshooting, SQL/code generation, and data Q&A.
• You will develop and optimize vector search and RAG pipelines to improve data retrieval and semantic understanding.
• You will debug and resolve performance or reliability issues in complex data systems, working toward production readiness.
• You will Collaborate with product managers, data engineers, and data analysts to deliver high-impact features.

About the Role

We are looking for a passionate iOS Engineering Intern to join our mobile team. You will work alongside experienced engineers to build, test, and ship features that impact our users. This is a hands-on role where you will write real code, participate in code reviews, and learn how to build scalable mobile applications in a fast-paced environment.

What You'll Do

• Develop and maintain features for our iOS application using Swift.
• Collaborate with engineers, designers, and product managers to understand requirements and deliver high-quality user experiences.
• Write clean, testable code and participate in peer code reviews.
• Help identify and fix bugs to improve application performance and stability.
• Participate in team agile processes, including daily stand-ups and sprint planning.

Nice to Have

• Personal iOS projects, apps published on the App Store, or contributions to open-source projects.
• Familiarity with modern iOS architectures (e.g., MVVM, VIPER, RIB).
• Exposure to unit/UI testing or CI/CD pipelines.

Get to Know the Team

The Cyber Risk & Control team is part of Grab's Cyber Security - Cyber Assurance function. We keep Grab's operations secure and compliant across Southeast Asian markets where regulatory requirements vary by country and continue to develop. Our work covers cyber policy, risk, and compliance - we balance regulatory obligations with operational realities so Grab can move fast without compromising on security or stability. The scope ranges from quick risk reviews to multi-quarter, organisation-wide compliance programmes.

We are a fast-paced team and expect people to be self-starters - to take ownership of their work, hold themselves accountable, and drive things forward without needing to be prompted. We make decisions collaboratively and work toward consensus, but we ask tough questions when something needs to be challenged. We are building automation and AI tooling to modernise how risk management works at Grab's scale.

Get to Know the Role

This internship is in the Cyber Risk & Control team, reporting to the Senior Manager, Risk and Control. You will also work regularly with the Security Automation team and get direct visibility into how both teams operate and where they intersect. The work is hands-on from day one - you will build AI agents and automation workflows to cut manual effort out of risk and compliance processes, contribute to internal tooling, and build dashboards that surface risk insights.

You will be onsite at our Petaling Jaya office five days a week.

The Critical Tasks You Will Perform

• You will design and build AI agents to automate GRC workflows - control assessments, evidence collection, risk narrative generation - using approved AI platforms.
• You will write Python scripts and API integrations to connect GRC platforms, ticketing systems, and internal data sources, cutting out the manual handoffs that slow the team down.
• You will build dashboards that pull from security and compliance data sources, so partners at any level can read the risk picture without needing a walkthrough.
• You will contribute to internal GRC tooling - risk registers, control libraries, compliance tracking workflows - and keep them usable as the team's needs change.
• You will document what you build and walk the team through it. Nothing you deliver should become a black box once you leave.

About the Role

We are looking for a passionate Android Engineering Intern to join our mobile team. You will work alongside experienced engineers to build, test, and ship features that impact our users. This is a hands-on role where you will write real code, participate in code reviews, and learn how to build scalable mobile applications in a fast-paced environment.

What You'll Do

• Develop and maintain features for our Android application using Kotlin (and Java).
• Collaborate with engineers, designers, and product managers to understand requirements and deliver high-quality user experiences.
• Write clean, testable code and participate in peer code reviews.
• Help identify and fix bugs to improve application performance and stability.
• Participate in team agile processes, including daily stand-ups and sprint planning.

Get to Know the Team

Grab's Integrity team is continuously improving our platforms. We process thousands of bookings a day and see hundreds of millions of traffic data per month. Our goal is to deliver mechanisms that provide user protection while minimizing user friction. See more what the team has launched at https://www.grab.com/my/about/trust-and-safety.

The Critical Tasks You Will Perform

• You will work with the engineering teams to design and write code and technical documentations to build reusable software components for the Grab platform
• You will participate in code and design reviews, share knowledge, tips and tricks, and generally help out with different teams
• You will take ownership of projects and work with the Product, Design, Mobile and Backend teams to build consumer and partner facing new products, platforms and features
• You will monitor the performance of the live apps and improve them on both code and experience level

Get to Know the Team

Grab's Integrity team is continuously improving our platforms. We process thousands of bookings a day and see hundreds of millions of traffic data per month. Our goal is to deliver mechanisms that provide user protection while minimizing user friction. See more what the team has launched at https://www.grab.com/my/about/trust-and-safety.

The Critical Tasks You Will Perform

• You will work with the engineering teams to design and write code and technical documentations to build reusable software components for the Grab platform
• You will participate in code and design reviews, share knowledge, tips and tricks, and generally help out with different teams
• You will take ownership of projects and work with the Product, Design, Mobile and Backend teams to build consumer and partner facing new products, platforms and features
• You will monitor the performance of the live apps and improve them on both code and experience level

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Designing and modifying optimization and measurement commands, for Hard Disk Drive product, related to product read/ write operation.
• Designing and modifying test methods, running validation and reviewing parametric data, to assure firmware code quality.
• Troubleshoot failures/ problems occur during continuous integration tests or product integration tests

Company Overview

Founded in 2001, Aurigin designs and delivers smart automation equipment and solutions for semiconductor and electrical manufacturing. Our flagship BGA ball mount systems are installed globally, enabling production of advanced semiconductor devices powering everyday life and future technologies.

Job Summary

We seek innovative, problem-solving individuals passionate about cutting-edge technology to join our semiconductor equipment company. You will contribute to building, tuning, and testing high-precision machines before global shipment.

Responsibilities

• Assemble mechanical and pneumatic parts, modules, and machines to meet precise operational standards
• Perform mechanical assembly, inspection, and functional testing of conversion kits to ensure quality and reliability
• Set up, debug, and test automation machines to verify performance and troubleshoot issues
• Analyze mechanical designs and provide actionable feedback and recommendations to improve product functionality and manufacturability
• Create detailed design documentation for mechanical parts and modules to support manufacturing and maintenance processes

Suitable candidates will be considered for permanent positions.

Job Overview

Reporting to the Senior Finance Executive, the Accounts Intern is to provide support in all aspects of the accounting function of the company.

Core responsibilities:

• Support in year-end and monthly closing, reconciliation, preparation of financial statements, GST reporting, cash flow and year-end audit.
• Help to handle data entry of accounts payable and receivable functions.
• Prepare schedules for external auditors during year-end audit, support Supervisor in suppliers and customers on billing and payment matters.
• Assist in dataentry for indirect procurement and preparing purchase orders.
• Assist in observing and verifying inventory count and reconciliation.
• Support and make active contributions to productivity and efficiency improvement initiatives across all departments (as and when required).
• Any other duties as and when assigned by Supervisor and Finance Manager

Job specifications:     

• Currently pursuing Diploma in Accounting and/or Finance.
• Proficient in Microsoft Office and computer skills.
• Meticulous in handling sensitive information, highly organized and efficient.
• Proactive, strong sense of accountability.
• Motivated to take on new challenges with strong desire to learn more about accounting and finance in an operational environment.

Period of Internship: August 2026 to February 2027

Based in Singapore, the Data ScienceIntern will develop and apply machine learning and computer vision techniquesto extract actionable insights from data collected by inspection and NDT tools,helping to advance the company's software products and solutions.

What will you do

• Develop tools to process the high volume of information collected by cameras and NDTtools (e.g Ground Penetrating Radar)
• Uncover hidden data correlations in aforementioned data (e.g. presence of corrosion vs concrete cover vs geographical location)
• Improve existing software tools using data science

1. Discover, learn and apply state-of-the-art Machine Learning techniques to InspectionTech problems.
2. Leverage data science techniques to improve customer insights in the InspectionTech space.

• Support project lifecycles from brainstorming to production
• Contribute to developing cutting-edge software and solutions that add value to the company and its customers.

What do we expect

• Pursuing a bachelor’s degree in Computer Science or related fields.
• Knowledge in Machine Learning libraries such as PyTorch.
• Knowledge in Computer Vision libraries such as OpenCV.
• Knowledge in Python and neural network frameworks (Pytorch, TensorFlow).

If you are currently pursuing a Degree in Chemical Engineering or Environmental Engineering and looking for 6-months internship, COME APPLY WITH US!

• Fortune 500 US MNC Company into Chemical Manufacturing Industries
• Gul Circle (Transport provided at CCK, JE, Boon Lay, Outram)
• Monday - Friday; 8:15AM to 5PM

Job Responsibilities

• Support the design and setup of cooling tower water treatment systems, focusing on energy efficiency and water savings to help clients achieve their sustainability goals
• Assist in managing water treatment projects to ensure delivery within timeline and budget
• Develop and enhance training materials for water treatment analyzers to improve internal team understanding of system functionality
• Collaborate with cross-functional teams to support project execution and technical documentation

Role Requirements

• Basic understanding of water chemistry is an advantage
• Proficient in AutoCAD or willing to learn
• Strong communication skills and willingness to learn in a technical environment

If you are keen toexplore this career opportunity, kindly send a copy of your resumeto rrkc@rapidrecruitmentasia.com or simply click the button to APPLYNOW! We regret that only shortlisted applicants will be notified.

Chan Ku Ci -R22111446
EA License No:16C8261

Job Summary

Provide administrative support to the Directors by managing contact information and performing general administrative tasks to ensure smooth office operations.

Responsibilities

• Organize and maintain Directors’ namecards to ensure an accurate and accessible contact database
• Perform general administrative duties to support the Director’s daily operations
• Assist with ad-hoc administrative tasks as assigned

Requirements

• Minimum Diploma qualification or equivalent
• Good organisational and administrative skills
• Able to work independently and manage tasks efficiently
• Able to commit to a 2-month contract

Work Arrangement

• Flexible working hours and work-from-home arrangement
  

[2026 Internship] Software Engineer Intern

Duration: Full-time Internship (6-month period)

At Codex Solutions, we’re on a mission to explore what’s next in AI — building smart systems that automate, enhance, and inspire.

As a Software Engineer, you’ll be part of a hands-on team experimenting with AI technologies while applying core software engineering fundamentals to design, build, and test real systems. You’ll work at the intersection of software development and applied AI, learning how modern AI capabilities are engineered into reliable, maintainable applications.

You’ll get to explore, prototype, and implement AI-driven solutions that streamline work, amplify human capability, and bring real value to the organisation. If you enjoy writing code, breaking problems down into logical components, and turning ideas into working software, this internship is for you.

Why This Matters

AI is changing how organisations operate — automating routine tasks, enabling smarter decisions, and freeing people to focus on what truly matters.

This internship gives you the opportunity to apply software engineering principles to AI-enabled systems, designing and building tools that support corporate automation while learning how real-world software is developed, tested, and improved over time.

What To Expect:

1. Design, develop, and prototype software applications that incorporate AI technologies such as Generative AI, Agentic AI, and automation frameworks, with a focus on corporate process automation.

2. Build and test intelligent systems such as AI-powered software components such as assistants, workflow bots, APIs, and automation services to improve internal operations.

3. Collaborate with cross-functional teams to identify high-impact business areas where AI can drive efficiency and innovation.

4. Develop and refine AI-enabled workflows, including prompt design, LLM integration, and retrieval augmented generation (RAG) pipelines.

5. Support the full lifecycle of end-to-end software and AI implementation from ideation and proof-of-concept to testing, deployment, and continuous improvement.

6. Stay curious about emerging AI and software development trends, sharing insights and experimental findings with the wider team.

Requirements

During the internship, you will get to learn and experience:

• How to apply software engineering fundamentals (modular design, basic architecture thinking, debugging, and testing) when building AI-enabled systems.
• Hands-on experience experimenting with different AI models, APIs, and frameworks, and integrating them into working software applications.
• The fundamentals of Generative AI and Agentic AI, and how they can be applied to solve real business challenges.
• Practical skills in coding, API integration, AI prototyping, and prompt engineering, with exposure to how AI systems fit into existing applications and workflows.
• An introduction to responsible, secure, and ethical AI development, including awareness of data handling and system limitations.