Software Engineer - AI
TomTom
Software Engineering, Data Science
Amsterdam, Netherlands
Posted on Nov 20, 2025
We're looking for a skilled Software Engineer to join our team and help us build a production-ready AI product for TomTom. The work is full-stack, covering everything from new feature development to infrastructure and client-side integration
What you'll need:
- Python Development: Building new features and improving existing ones
- DevOps and MLOps: Managing CI/CD pipelines and automating model deployment
- Client Integration: Working on client-side integration with any customer-facing TomTom product
- Evaluation Systems: Developing in-house systems to monitor and measure model performance
- AI/ML Techniques: Applying fine-tuning and prompt engineering to enhance model performance
- Production Readiness: Making the product resilient and ready for production, including performance optimization and robust error handling
What you'll do:
- New Feature Development: Design, implement, and deploy new features using Python to enhance our core AI functionalities
- DevOps and MLOps: Contribute to the development and maintenance of our CI/CD pipelines and MLOps infrastructure. This includes automating model training, deployment, and monitoring processes to ensure product resilience and scalability
- In-house Evaluation System: Develop and improve our internal evaluation system to accurately measure model performance, track key metrics, and ensure data integrity
- Integration and Deployment: Manage the integration of our AI solution into client environments
- AI Model Improvement: Work with our existing models to enhance their performance and efficiency. This will include tasks like fine-tuning large language models and applying advanced prompt engineering techniques
- R&D Contributions: Participate in short-term research and development projects to explore new technologies and approaches that can give our product a competitive edge
- Product Hardening: Take ownership of tasks focused on making the product production-ready, including improving reliability, enhancing performance, and implementing robust error handling and monitoring
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