Working arrangement: Vietnam (Remote - work from anywhere in Vietnam)
Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive
At BJAK, we’re using AI to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. As a Founding AI Software Engineer, you’ll help build the intelligent systems that power this mission - from personalized recommendations and fraud detection to automation and search.
This is a remote role based in Vietnam, working closely with our HQ in Malaysia and regional teams across Southeast Asia. You’ll join a fast-paced, flat team structure where your execution and ideas shape real-world outcomes every day.
Why This Role Matters
Your work will directly impact user experience, efficiency, and platform intelligence
You’ll contribute to production-grade AI systems that serve millions
You’ll collaborate across functions and build scalable ML tools from the ground up
You’ll grow quickly in a lean, high-impact engineering environment
What You’ll Do
Work with product, data, and engineering teams to define ML goals and technical strategies
Design, build, and deploy machine learning models that power personalization, automation, and insight generation
Manage the ML lifecycle: data preprocessing, feature engineering, model training, evaluation, and deployment
Build scalable ML infrastructure and deployment pipelines
Integrate ML outputs into user-facing products and backend systems
Stay current with AI/ML trends and apply relevant innovations into our stack
Contribute to debugging, testing, and optimization of production ML systems
You’ll Thrive Here If You...
Take full ownership - you don’t just build models, you make sure they drive real-world results
Are a self-starter who figures things out fast, even when there’s no manual or roadmap
Move with urgency - you adapt quickly, ship fast, and improve even faster
Own problems end-to-end - from messy data to deployment, and everything in between
Bring a team-first attitude - you’re humble, helpful, and raise the bar for those around you
Push through chaos - startup pace, shifting priorities, and ambiguity don’t throw you off
Learn obsessively and share openly - you level up fast and help others do the same
Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field
2 - 4 years of experience in machine learning or backend software development
Strong Python skills, with experience using frameworks like TensorFlow, PyTorch, or Scikit-learn
Solid understanding of ML workflows: data cleaning, model development, tuning, evaluation
Familiar with model deployment, API development, or real-world ML integration
Experience with tools like Google Colab, Jupyter, and cloud ML platforms
Strong analytical, problem-solving, and communication skills
Must be based in Vietnam and open to remote collaboration across time zones
Nice to Have
Experience with NLP, computer vision, or recommendation systems
Familiarity with cloud services (e.g., AWS, GCP, Azure)
Exposure to Docker, Git, or CI/CD tools
Background working in a high-growth startup or agile product environment
What You’ll Get
Competitive salary and performance-based bonuses
Flexible, fully remote work arrangement from anywhere in Vietnam
Direct impact - your work reaches millions of users across Asia
Flat structure - your voice is heard, your contributions are seen
Opportunities for rapid personal and technical growth
Regional exposure and collaboration across Southeast Asia
About BJAK
BJAK is Southeast Asia’s largest digital insurance platform, helping millions of users access affordable, transparent financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial services using AI, automation, and smart APIs. We're building the next generation of intelligent systems to make finance better, faster, and fairer for everyone.
If you’re excited about building ML systems that solve real-world problems at scale - and thrive in a high-impact, mission-driven team - we’d love to hear from you.