AI Software Engineer at Bjak

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

25 Jan, 26

Salary

0.0

Posted On

27 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Data Preprocessing, Feature Engineering, Model Evaluation, Model Deployment, APIs, Google Colab, Jupyter, Cloud Platforms, Problem Solving, Communication, NLP, Computer Vision, Recommendation Engines, Docker

Industry

Software Development

Description

Build AI Systems That Make Finance Simpler, Smarter, and More Inclusive At BJAK, we’re on a mission to make insurance and financial services easier to access, understand, and afford for millions across Southeast Asia. Using AI, we simplify complex financial products and deliver intelligent features - from fraud detection to personalised recommendations - that make a real difference. We're now looking for an AI Software Engineer based in Thailand to join our hybrid team. You’ll work closely with our HQ in Malaysia and collaborate with regional product and engineering teams. This is an exciting opportunity to bring smart systems to life in one of the fastest-growing fintech platforms in the region. Why This Role Matters You’ll directly shape the user experience, platform intelligence, and operational efficiency. You’ll build and scale production-grade AI systems serving millions across SEA. You’ll collaborate across functions to develop ML tools from scratch You’ll grow fast in a flat, fast-moving, and collaborative environment What You’ll Do Partner with product and data teams to define ML strategies and goals Build, train, and deploy models to support personalization, automation, and insights Handle data preprocessing, feature engineering, and model evaluation Develop scalable ML infrastructure and data pipelines Integrate ML outputs into user-facing products and internal tools Stay on top of emerging AI trends and apply them to real-world use cases Support system debugging, optimization, and ongoing improvements You’ll Thrive Here If You… Take ownership and care about impact, not just output Are curious, hands-on, and eager to learn beyond your current skillset Can work independently and navigate through ambiguity Are adaptable to change and comfortable in a startup environment Enjoy working in a collaborative team with a humble and solution-oriented mindset See problems through to the end, even if it means picking up something new What We’re Looking For Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field 2–4 years of experience in AI, machine learning, or backend development Strong Python skills is a MUST Experience in frameworks like TensorFlow, PyTorch, or scikit-learn Familiarity with ML workflows: data cleaning, model development, evaluation, tuning Experience in deploying models or APIs in real-world environments Proficient with tools like Google Colab, Jupyter, or cloud-based ML platforms Strong problem-solving and communication skills Based in Thailand, and open to working in a hybrid environment in our Thailand office. Bonus Points For Experience in NLP, computer vision, or recommendation engines Exposure to AWS, GCP, or other cloud services Familiarity with tools like Docker, Git, and CI/CD pipelines Background in fast-paced startups or high-growth tech teams What You’ll Get Competitive compensation and performance-based bonuses Hybrid work setup Fast learning and meaningful ownership Real impact - your work will touch millions of users Flat hierarchy - your ideas and contributions matter Cross-border experience with regional tech and product teams About BJAK BJAK is Southeast Asia’s largest digital insurance platform. Headquartered in Malaysia with a presence in Thailand, Taiwan, and Japan, we help millions of users access transparent, affordable financial protection through Bjak.com. Our platform simplifies complex financial services using AI, APIs, and automation, making financial protection smarter, faster, and more inclusive. If you’re excited about applying AI to real-world problems and growing fast in a mission-driven company, we’d love to hear from you.

Responsibilities

You will partner with product and data teams to define machine learning strategies and goals, and build, train, and deploy models to support personalization, automation, and insights. Additionally, you will develop scalable machine learning infrastructure and data pipelines, integrating outputs into user-facing products and internal tools.