Build Intelligent Systems from Model to UI — and Everything in Between
At BJAK, we’re using AI to reinvent how financial services work across Southeast Asia — making them smarter, simpler, and more inclusive. As a Full Stack Engineer AI, you’ll bridge machine learning and software engineering to bring intelligent features directly into users’ hands.
You’ll operate across the stack — from backend systems and ML model integration to frontend delivery — and help shape how millions of users experience intelligent financial services. This is a remote role based in Singapore, working closely with our Malaysia HQ and cross-functional regional teams.
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
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
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
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 is a MUST 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
Must be a Singaporean citizen or Permanent Resident (PR)
Must be willing to relocate to Malaysia or work remotely from Singapore
Experience with tools like FastAPI, Flask, 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
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
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.
