Full Stack AI Engineer

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 deliver real AI-powered features into users’ hands.

This is a remote role based in Indonesia, working closely with our HQ in Malaysia and cross-functional regional teams. You’ll operate across the stack, from backend logic and integration to frontend delivery, building intelligent systems that scale fast and matter deeply.

Why This Role Matters

• You’ll be the critical link between AI models and user-facing experiences

• Your work will shape how millions of people interact with innovative financial services

• You’ll architect and deliver full-stack systems that combine backend, ML, and frontend layers

• You’ll thrive in a lean, high-impact team where speed, ownership, and collaboration are everything

What You’ll Do

• Build and deploy full-stack applications that incorporate ML models

• Work with data scientists and ML engineers to integrate models into scalable backend systems

• Develop APIs, backend services, and real-time data pipelines for intelligent features

• Design clean, performant, and intuitive UIs that surface AI insights to users

• Own the full development lifecycle from architecture and testing to deployment and monitoring

• Collaborate with product, design, and engineering teams to ship polished, end-to-end solutions

• Continuously improve the performance, usability, and reliability of AI-integrated applications

You’ll Thrive Here If You...

• Own the outcome; you care about impact, not just lines of code

• Solve problems end-to-end, from data and systems to UI and user flow

• Build fast and iterate even quicker; V1 out now beats V3 someday

• Move forward even in chaos; ambiguity, shifting priorities, and lean resources excite you

• Think like a founder - you don’t wait to be told; you figure it out and ship

• Learn aggressively - new tools, frameworks, and failures that fuel your growth

• Have the humility to learn from others and the drive to help them grow

• Bring energy, clarity, and execution, and raise the bar for your team every day

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field

• 2–4 years of experience in full-stack development (frontend + backend)

• Strong programming skills in Python and JavaScript (Node.js, React, or similar)

• Experience integrating ML models into production systems

• Familiarity with REST APIs, cloud deployment, and scalable architecture

• Comfortable working with SQL/NoSQL databases and distributed systems

• Strong grasp of software design patterns, testing, and debugging

• Must be based in Indonesia and open to remote collaboration with international teams

Nice to Have

• Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow Serving

• Familiarity with modern frontend stacks like Next.js, Vue, or TypeScript

• Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS

• Background in high-growth startups or agile product teams

• Interest in explainable AI, visualizations, or surfacing complex ML outputs to end users

What You’ll Get

• Competitive salary and performance-based bonuses

• Remote-first setup with the flexibility to work from anywhere in Indonesia

• High-impact, high-ownership role in a product-led AI company

• Flat structure; your ideas are valued, and your code is seen

• Fast-track growth with real visibility across engineering, data, and product

• Regional exposure across Southeast Asia and the chance to shape products at scale

About BJAK

BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we help millions of users access affordable financial protection through innovative, AI-driven systems. We simplify complex financial products through automation, recommendation engines, and intelligent APIs, making them more accessible, transparent, and fair.

If you're excited to bring AI to life through full-stack engineering - and thrive in a fast-moving, high-ownership environment, we’d love to hear from you.

Originally posted on Himalayas