AI Engineer

THE ROLE

As an AI Engineer, you will build AI-powered products and progressively learn to think and operate at the systems level, understanding how applications, models, data, infrastructure and enterprise systems fit together.

As you develop, you will take increasingly complex problems from requirements and system design through implementation, deployment and production.

You do not need to have worked on AI systems before. We are looking first for strong engineering fundamentals, problem-solving ability and learning velocity.

But this is an intellectually demanding role with a steep learning curve. Many of the problems we work on do not have established playbooks. You will regularly encounter technologies and problems you have never seen before.

Because we are a lean team, you will get unusually broad technical exposure and responsibility for your level of experience. You will learn through code review, design discussions and pairing on real production problems, while owning meaningful parts of the system yourself. You will also see the commercial side of the work, including how requirements come out of customer conversations and why enterprise constraints shape what gets built.

In return, we expect you to take ownership of your learning and develop quickly.

WHAT YOU'LL WORK ON

• Build AI-powered applications, backend services and APIs using Python
• Build RAG, semantic search, agentic and LLM-powered systems
• Integrate AI with enterprise data, APIs, tools and business workflows
• Build product interfaces using React and TypeScript
• Deploy and operate applications using Docker and cloud infrastructure
• Design, debug and improve systems for reliability, security and performance
• Help establish the engineering practices this centre will run on

WHAT WE'RE LOOKING FOR

• Bachelor's degree in Computer Science, Software Engineering, or a related engineering or quantitative field
• 2-3 years of professional software engineering experience
• Very strong Python. This is the core requirement, and we will test it
• Experience building production software, backend services or APIs that other people depended on
• Good understanding of databases, APIs and how software systems fit together
• Strong analytical, problem-solving and debugging ability
• Able to learn unfamiliar technologies quickly and tackle problems where the answer is not immediately obvious
• Communicates clearly and takes ownership of what you build
• Based in or willing to relocate to Kuala Lumpur

We care less about which frameworks are on your CV and more about the strength of your fundamentals and whether you can take an unfamiliar problem, understand it quickly, reason about it clearly and figure out how to solve it.

USEFUL, BUT NOT REQUIRED

Experience with LLM applications, RAG, agentic AI, React/TypeScript, Docker, cloud infrastructure or machine learning.

WHO WILL THRIVE HERE

If you want to master a fixed technology stack and then rely on what you already know, this is probably not the role for you.

There are easier engineering jobs. This role is for someone who wants to be intellectually stretched, become a much stronger engineer, and be able to point at something and say they built it from the start.

We want to develop engineers who progress from asking:

What should I code

then

How should I build this

and eventually

What is the right system to build, how should we design it, and why

OUR PROCESS

Shortlisted candidates will complete a Python assessment before the technical interview. We use it to see how you reason about code, not to check whether you have memorised syntax.

ABOUT PAND.AI

Pand.ai builds enterprise AI systems for some of the largest organisations in Asia. Our engineers work on real production problems where AI must integrate with existing enterprise systems, operate within security and regulatory constraints, and deliver reliable outcomes at scale.

Because we work closely with our customers, our engineers don't just receive specifications. They learn to understand business problems, uncover technical constraints, and design and build complete AI systems.