Working arrangement: Germany (Remote - work from anywhere in Germany)
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 Germany, working closely with our Malaysia HQ and cross-functional regional teams. You’ll operate across the stack - from backend logic and ML integration to frontend delivery - building intelligent systems that scale fast and matter deeply.
You’ll be the critical link between AI models and user-facing experiences
Your work will shape how millions of people interact with smart 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
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
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 faster, 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 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
Bachelor’s degree in Computer Science, Software Engineering, or 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 Germany and open to remote collaboration with international teams
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
Competitive salary and performance-based bonuses
Remote-first setup with flexibility to work from anywhere in Germany
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
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 smart, 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
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