Founding AI Software Engineer (Remote)

📍 Working arrangement: United States (Remote - work from anywhere in the US)

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/ML 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 United States, 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.

• 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

• 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

• 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

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

• Strong proficiency in Python is a must

• 2 - 4 years of experience in machine learning or backend software development

• 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 US and open to remote collaboration across time zones

• 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

• Competitive salary and performance-based bonuses

• Flexible, fully remote work arrangement from anywhere in the US

• 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

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.