Software Engineer - AI

Software Engineer - AI at TomTom

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Key skills/competency

• Python
• AI/ML
• DevOps
• MLOps
• CI/CD
• Fine-tuning
• Prompt Engineering
• Production Systems
• Client Integration
• Performance Optimization