AI Engineer

📍 Working arrangement: Remote — remote in Dublin, Ireland

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 AI Engineer, 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 hybrid role based in Malaysia, working 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 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

Nice to Have

- 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

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.

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