Build Intelligent Systems from Model to UI — and Everything in Between
At BJAK, we’re reimagining financial services across Southeast Asia with AI, making them smarter, simpler, and more inclusive. As a Full Stack AI Engineer, you’ll bridge the gap between machine learning and software engineering to bring intelligent features directly into users’ hands. This is not a traditional ML research role. We’re not looking for someone to train models from scratch; we’re looking for a builder who knows how to integrate ML models into robust, scalable, user-facing applications.
This hybrid role is based in Malaysia, and you’ll collaborate closely with teams across product, data, and engineering.
Why This Role Matters
You’ll be the critical link between AI models and user-facing features
Your work will define how intelligence is delivered to millions of users
You’ll build end-to-end systems that combine backend, ML, and frontend engineering
You’ll thrive in a lean, fast-moving team that values bold execution and real-world impact
What You’ll Do
Build and deploy full-stack applications that leverage machine-learning models.
Collaborate with ML engineers and data scientists to integrate models into production.
Develop backend services, APIs, and pipelines to power intelligent features.
Build intuitive and performant UIs that surface AI insights clearly and meaningfully.
Own the full development lifecycle: architecture, implementation, testing, deployment, and monitoring.
Work with product, design, and engineering teams to deliver seamless user experiences.
Continuously improve the performance, scalability, and reliability of AI-integrated systems.
You’ll Thrive Here If You...
Love shipping fast - you’d rather launch V1 this week than perfect V3 six months later.
Treat every problem as your own, regardless of scope or title
Enjoy switching hats - builder, debugger, architect, and product thinker when needed
Believe clarity comes from action - prototype, test, and iterate without waiting for perfect plans
Stay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze you
See feedback and failure as part of growth - you're here to level up
Believe “done” beats “perfect,” but still care deeply about UX and code quality
Show up with humility, hunger, and hustle, and lift up others as you go
Requirements
Bachelor’s degree in Computer Science, Software Engineering, or related field
2–4 years of experience in full stack development (frontend + backend)
Strong coding skills in Python and JavaScript (Node.js, React) or similar stacks
Experience integrating machine learning models into production applications
Solid understanding of API development, RESTful services, and cloud deployment
Comfortable working with SQL/NoSQL databases and scalable system architecture
Proficient in debugging, testing, and modern software design best practices
Based in Malaysia and open to hybrid work from our Petaling Jaya HQ
Nice to Have
Experience with tools like FastAPI, Flask, and TensorFlow Serving for ML model deployment
Familiarity with frontend frameworks like Next.js, Vue, or TypeScript
Exposure to ML lifecycle and ops tools (MLflow, Airflow, Docker, GCP/AWS)
Experience in high-growth startup or agile product development teams
Understanding of AI explainability and data visualization in user interfaces
What You’ll Get
Competitive salary and performance-based bonuses
Hybrid flexibility - work from home and collaborate in-office at HQ
High-impact role with visibility across product, data, and engineering
Flat structure - your work is seen, your ideas are heard
Fast learning curve and accelerated growth in a mission-driven company
Regional exposure across Southeast Asian markets
About BJAK
BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia with operations in Thailand, Taiwan, and Japan, we help millions of users access affordable, transparent financial protection. We use AI, automation, and APIs to simplify complex financial products, making them accessible, faster, and fairer.
If you're excited to bring AI to life through full-stack engineering and want to build products that reach millions, we’d love to hear from you.