Build Intelligent Systems from Model to UI — and Everything in BetweenAt 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 MattersYou’ll be the critical link between AI models and user-facing featuresYour work will define how intelligence is delivered to millions of usersYou’ll build end-to-end systems that combine backend, ML, and frontend engineeringYou’ll thrive in a lean, fast-moving team that values bold execution and real-world impactWhat You’ll DoBuild 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 titleEnjoy switching hats - builder, debugger, architect, and product thinker when neededBelieve clarity comes from action - prototype, test, and iterate without waiting for perfect plansStay calm and effective in startup chaos - shifting priorities and building from zero doesn’t faze youSee feedback and failure as part of growth - you're here to level upBelieve “done” beats “perfect,” but still care deeply about UX and code qualityShow up with humility, hunger, and hustle, and lift up others as you goRequirementsBachelor’s degree in Computer Science, Software Engineering, or related field2–4 years of experience in full stack development (frontend + backend)Strong coding skills in Python and JavaScript (Node.js, React) or similar stacksExperience integrating machine learning models into production applicationsSolid understanding of API development, RESTful services, and cloud deploymentComfortable working with SQL/NoSQL databases and scalable system architectureProficient in debugging, testing, and modern software design best practicesBased in Malaysia and open to hybrid work from our Petaling Jaya HQNice to HaveExperience with tools like FastAPI, Flask, and TensorFlow Serving for ML model deploymentFamiliarity with frontend frameworks like Next.js, Vue, or TypeScriptExposure to ML lifecycle and ops tools (MLflow, Airflow, Docker, GCP/AWS)Experience in high-growth startup or agile product development teamsUnderstanding of AI explainability and data visualization in user interfacesWhat You’ll GetCompetitive salary and performance-based bonusesHybrid flexibility - work from home and collaborate in-office at HQHigh-impact role with visibility across product, data, and engineeringFlat structure - your work is seen, your ideas are heardFast learning curve and accelerated growth in a mission-driven companyRegional exposure across Southeast Asian marketsAbout BJAKBJAK 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.
