Join to apply for the AI Software Engineer role at BJAK
Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive
This role is based in Malaysia with a hybrid work arrangement - combining flexible remote work with in-office collaboration at our Kuala Lumpur HQ. You’ll work closely with regional teams across product, engineering, and data to build and scale impactful AI solutions.
Why This Role Matters
- You’ll directly impact user experience, automation, and platform intelligence.
- You’ll help design and deliver production-grade AI systems used by millions.
- You’ll work cross-functionally and shape ML tools and infrastructure from the ground up.
- You’ll grow fast in a flat, execution-driven team that values speed, learning, and ownership.
What You’ll Do
Define machine learning goals and strategies with product and data teamsBuild and deploy models for personalization, automation, and insight generationOwn data preprocessing, feature engineering, model training, tuning, and evaluationDevelop and maintain scalable ML pipelines and infrastructureIntegrate ML outputs into user-facing applications and backend systemsStay on top of new AI research and tools, and apply relevant innovationsSupport system performance, debugging, and optimization in production environmentsYou’ll Thrive Here If You...
Take ownership - you care about what you build and the outcomes it drivesWork independently and figure things out without waiting for perfect directionEmbrace speed and ambiguity - you're comfortable with shifting prioritiesAre curious, motivated, and always eager to grow your technical and product-thinking skillsEnjoy helping teammates and contributing to a humble, high-performing team cultureAre proactive - you solve problems end-to-end, even if it means learning something newThrive in a fast-paced, startup environment where done >perfect and learning is constant
Requirements
Bachelor’s degree in Computer Science, Data Science, Engineering, or any related field2 - 4 years of experience in AI engineering or backend software developmentStrong Python programming skills and familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)Solid understanding of the ML lifecycle - from data wrangling to model deploymentFamiliarity with deploying models into real-world systems or APIsExperience using tools like Jupyter, Google Colab, or cloud-based ML platformsStrong analytical thinking, debugging, and communication skillsBased in Malaysia, with the ability to work in a hybrid setup from PJ HQNice to Have
Experience in NLP, computer vision, or recommender systemsExposure to cloud infrastructure (e.g., AWS, GCP)Familiarity with Docker, Git, CI / CD, or model deployment pipelinesExperience working in fast-growth startups or agile product environmentsWhat You’ll Get
Competitive salary and performance-based bonusesHybrid work flexibility : remote work plus in-person collaboration at our HQHigh ownership and visibility - your work will reach millionsRapid learning and growth in a mission-driven companyA flat structure where your voice is heard and ideas are valuedCross-border exposure to regional product developmentOur Team & Culture
We’re a lean, high-performance team that moves fast and holds a high bar. Titles don’t matter here - output, integrity, and ownership do. Everyone is expected to roll up their sleeves, contribute meaningfully, and take initiative.
We reward people who think like owners. We value speed, clarity, and relentless ownership. If you’re hungry to grow and care deeply about excellence, this is your kind of environment.
About BJAK
BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia and operating in Thailand, Taiwan, and Japan, we help millions of users access transparent and affordable financial protection through Bjak.com. We simplify complex financial products through cutting-edge technologies, including APIs, automation, and AI, to build the next generation of intelligent financial systems.
If you're excited to build real-world AI systems and grow fast in a high-impact environment, we’d love to hear from you.
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