Lead AI Engineer (Remote)
Working Arrangement: Munich, Germany (Remote - work from anywhere in Germany) 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 hyper-personalized financial experiences that make insurance and financial services more accessible. We’re looking for a Lead AI Engineer based in Germany to play a pivotal role in building, scaling, and leading the next generation of intelligent systems. This role blends deep technical expertise with hands-on leadership, reporting directly to our Head of AI. You’ll write production code, shape strategy, mentor team members, and help grow a lean, world-class AI engineering team. Why This Role Matters
- You’ll design and deploy core AI systems that serve millions across the region
- You’ll be the right hand to the Head of AI — driving technical execution and engineering standards
- You’ll lead and mentor junior engineers to elevate team performance and capabilities
- You’ll play a critical role in hiring and scaling a high-performance AI team
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 prep 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
You’ll Thrive Here If You...
- Lead from the front — you’re hands-on in code, but always lifting others
- Think like an owner — you don’t wait for permission to solve a problem
- Operate at speed and depth — you make fast, sound decisions that balance trade-offs
- Push for clarity — even in chaos, you bring structure, direction, and accountability
- Care about what ships — you focus on solving real-world problems, not just academic ones
- Grow the team, not just the tech — you enjoy mentoring, coaching, and seeing others win
- Adapt fast — priorities shift, ambiguity is the norm, and you navigate both with confidence
- Have a builder’s mindset — fast prototypes, strong opinions, and a hunger to iterate
- Keep learning — you’re constantly leveling up your technical, product, and leadership game
Requirements
- 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 Python skills and deep familiarity with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
- Solid understanding of the end-to-end ML lifecycle: data pipelines, training, validation, monitoring
- Experience working on applied AI problems (e.g., recommendation, fraud, risk, NLP, etc.)
- Track record of technical leadership and mentoring engineers
- Excellent communication and collaboration skills
- Must be based in Germany and open to working remotely with regional teams
Nice to Have
- Experience with MLOps tooling (e.g., MLflow, Airflow, Docker, GCP/AWS)
- Familiarity with responsible AI practices (fairness, interpretability,
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