AI Engineer

TomTom; Amsterdam; On-site; EUR 65,000 - 110,000; Full time

Job summary

TomTom in Amsterdam is seeking a skilled Software Engineer to join our team and help build a production-ready AI product. The role is full-stack, covering feature development, infrastructure, and client-side integration.

Responsibilities include designing features in Python, evolving CI/CD/MLOps pipelines, and improving in-house evaluation systems to ensure model performance and reliability at scale.

Qualifications

• Experience with Python development and feature work.
• Hands-on in CI/CD pipelines and model deployment automation.
• Experience integrating AI solutions into client environments.
• Building in-house evaluation systems to measure model performance.
• Experience with fine-tuning models and prompt engineering.
• Ensuring production readiness, reliability, and performance.

Responsibilities

• Design, implement, and deploy new AI features in Python.
• Contribute to CI/CD pipelines and MLOps infrastructure.
• Develop and improve internal evaluation systems for model performance.
• Manage integration of AI solutions into client environments.
• Fine-tune models and apply advanced prompt engineering techniques.
• Participate in R&D to explore new technologies.

Skills

Python

DevOps and MLOps

Client integration

Evaluation systems

AI/ML techniques

Production readiness

Job description

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 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.

What Experience 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
• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.