Software Engineer - AI

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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