AI Engineer
1 week ago
Shape AI That Powers the Future of Financial Access Across Southeast Asia
At BJAK, we're using AI to solve meaningful problems - from fraud detection and risk modeling to personalized experiences that make insurance and financial services more inclusive. We're looking for a AI Engineer based in Singapore to play a key role in building and scaling these systems.
This role combines senior-level engineering depth with team leadership, reporting directly to our Head of AI. You'll be both an individual contributor and a technical mentor, working hands-on with models while also guiding junior engineers and contributing to the team's growth.
Why This Role Matters
You'll build core AI systems that serve millions of users across the region.
You'll act as the right hand to the Head of AI, shaping direction, execution, and standards.
You'll help build a lean, high-performance AI team by interviewing, mentoring, and coaching.
You'll set the technical bar, leading by example in code quality, delivery, and problem-solving
What You'll Do
Design and deploy production-grade machine learning models for business-critical use cases.
Collaborate closely with engineering, data, and product teams to identify and deliver AI solution
Lead technical decisions on model architecture, system design, and deployment pipelines.
Own end-to-end model lifecycle: from data preparation to training, validation, monitoring, and retraining
Act as a mentor to junior AI engineers - reviewing code, guiding projects, and supporting growth
Support hiring: interview candidates, evaluate technical fit, and contribute to building a world-class team
Champion AI best practices, experimentation, and continuous improvement
Stay current with AI advancements and evaluate what's worth bringing into our stack
You'll Thrive Here If You...
Are both a builder and a leader - you roll up your sleeves and raise the bar for others
Get excited about shipping AI systems that work in the real world
Enjoy helping teammates grow and succeed - and do it without ego
Can bring clarity and structure to ambiguity
Thrive in a high-ownership, fast-paced startup culture
Care about impact - not just model accuracy, but how it affects users and business
Think feedback, iteration, and learning are part of the job - not afterthoughts
Requirements
Bachelor's or Master's degree in Computer Science, Engineering, or related field
4–6 years of experience in AI engineering, with production deployment experience
Strong proficiency in Python is a must
Deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience working on real-world AI applications (e.g., risk scoring, recommendation, NLP, etc.)
Experience mentoring engineers and collaborating across functions
Strong communication skills - able to work cross-functionally and provide technical leadership
Must be based in Singapore and able to work remotely with Malaysia HQ
Nice to Have
Experience with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS)
Familiarity with model explainability, fairness, or responsible AI practices
Background in startup or high-growth tech environments
Exposure to building internal AI tools, frameworks, or reusable components
What You'll Get
Competitive salary and performance bonuses
Fully remote, flexible work setup from anywhere in Singapore
High ownership, visible impact, and direct reporting to the Head of AI
Fast career growth in a company scaling across ASEAN
Opportunity to lead a lean, smart team solving meaningful problems
Access to cross-border collaboration and regional product exposure
About BJAK
BJAK is Southeast Asia's largest digital insurance platform, helping millions access transparent and affordable financial protection. Headquartered in Malaysia and operating across Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems, making them accessible, fast, and fair. Join us to shape the future of AI-driven finance.
If you're ready to build, lead, and scale AI that matters - and grow with a company that moves fast and thinks big - we'd love to hear from you.
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