BJAK is hiring a Founding Lead AI Engineer to design, build, and deploy the core AI systems that will serve millions of users across Southeast Asia. As the founding lead, you will blend deep technical expertise with hands-on leadership, reporting directly to the Head of AI. You will be pivotal in writing production code, shaping strategy, mentoring team members, and helping to grow a world-class AI engineering team.

What You'll Do

Design, build, and ship production-grade machine learning models for high-impact business use cases.
Lead model architecture, data pipeline design, and deployment strategies.
Collaborate across product, engineering, and data teams to drive AI initiatives.
Own the end-to-end ML lifecycle from data preparation to deployment and monitoring.
Review code, guide projects, and mentor engineers through technical challenges.
Champion experimentation, continuous learning, and AI best practices.
Interview and evaluate candidates, contributing to technical hiring and team building.
Stay ahead of ML advancements and bring cutting-edge solutions into production.

What We're Looking For

Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.
Strong proficiency in Python is a must.
4–6 years of experience in AI/ML engineering with real-world deployment experience.
Deep familiarity with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring.
Experience working on applied AI problems like recommendation, fraud, risk, or NLP.
Track record of technical leadership and mentoring engineers.
Excellent communication and collaboration skills.
Must be based in China and open to working remotely with regional teams.

Nice to Have

Experience with MLOps tooling such as MLflow, Airflow, Docker, GCP, or AWS.
Familiarity with responsible AI practices including fairness, interpretability, and model governance.
Startup or scale-up environment experience.
Exposure to building internal tools, reusable ML components, or AI platforms.

Technical Stack

Python, TensorFlow, PyTorch, Scikit-learn
MLflow, Airflow, Docker
GCP, AWS

Team & Environment

You will be joining a growing AI engineering team, reporting directly to the Head of AI with exposure to senior leadership.

Benefits & Compensation

Competitive salary and performance-based bonuses.
Fully remote and flexible work arrangement from anywhere in China.
High ownership role with impact visible at a regional scale.
Fast-track career growth and learning opportunities in a high-speed environment.
Collaborative, flat culture where ideas move fast and great work gets noticed.