BJAK is seeking a Founding Lead AI Engineer to build, scale, and lead the next generation of intelligent systems for financial access across Southeast Asia. This role blends deep technical expertise with hands-on leadership, reporting directly to the Head of AI, and involves writing production code, shaping strategy, mentoring engineers, and hiring.

What You'll Do

Design, build, and ship production-grade ML models for high-impact 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.
4–6 years of experience in AI/ML engineering with real-world deployment experience.
Strong proficiency in Python is a must.
Deep familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring.
Experience working on applied AI problems such as recommendation, fraud, risk, or NLP.
Track record of technical leadership and mentoring engineers.
Excellent communication and collaboration skills.
Must be based in Indonesia and open to working remotely with regional teams.

Nice to Have

Experience with MLOps tooling like MLflow, Airflow, Docker, GCP/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

Languages & Frameworks: Python, TensorFlow, PyTorch, Scikit-learn
Tools & Platforms: MLflow, Airflow, Docker, GCP/AWS

Team & Environment

You will join a growing, lean, world-class AI engineering team and report directly to the Head of AI.

Benefits & Compensation

Competitive salary and performance-based bonuses.
Fully remote and flexible work arrangement from anywhere in Indonesia.
High ownership role with impact visible at a regional scale.
Direct reporting line to Head of AI with exposure to senior leadership.
Opportunity to lead and shape a growing AI engineering team.
Fast-track career growth and learning opportunities in a high-speed environment.
Collaborative, flat culture where ideas move fast and great work gets noticed.