Founding AI Software Engineer

Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive

At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.

This is a Hybrid role based in Malaysia, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.

Why This Role Matters

Your work will directly impact user experience, efficiency, and platform intelligence

You’ll contribute to production-grade AI systems that serve millions

You’ll collaborate across functions and build scalable ML tools from the ground up

You’ll grow quickly in a lean, high-impact engineering environment

What You’ll Do

Work with product, data, and engineering teams to define ML goals and technical strategies

Design, build, and deploy machine learning models that power personalization, automation, and insight generation

Manage the ML lifecycle : data preprocessing, feature engineering, model training, evaluation, and deployment

Build scalable ML infrastructure and deployment pipelines

Integrate ML outputs into user-facing products and backend systems

Stay current with AI / ML trends and apply relevant innovations into our stack

Contribute to debugging, testing, and optimization of production ML systems

You’ll Thrive Here If You...

Take full ownership - you don’t just build models, you make sure they drive real-world results

Are a self-starter who figures things out fast, even when there’s no manual or roadmap

Move with urgency - you adapt quickly, ship fast, and improve even faster

Own problems end-to-end - from messy data to deployment, and everything in between

Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you

Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off

Learn obsessively and share openly - you level up fast and help others do the same

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field

2 - 4 years of experience in machine learning or backend software development

Strong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learn

Solid understanding of ML workflows : data cleaning, model development, tuning, evaluation

Familiar with model deployment, API development, or real-world ML integration

Experience with tools like Google Colab, Jupyter, and cloud ML platforms

Strong analytical, problem-solving, and communication skills

Based in Malaysia, with the ability to work in a hybrid setup from PJ HQ

Nice to Have

Experience with NLP, computer vision, or recommendation systems

Familiarity with cloud services (e.g., AWS, GCP, Azure)

Exposure to Docker, Git, or CI / CD tools

Background working in a high-growth startup or agile product environment

What You’ll Get

Competitive salary and performance-based bonuses

Hybrid work flexibility : remote work plus in-person collaboration at our HQ

Direct impact - your work reaches millions of users across Asia

Flat structure - your voice is heard, your contributions are seen

Opportunities for rapid personal and technical growth

Regional exposure and collaboration across Southeast Asia

About BJAK

BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.

If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.

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