AI Engineer Search(Product Engineering) Amsterdam, The Netherlands

TomTom International BV; Amsterdam; On-site; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Hackathons

Developer days

Learning programs

Job summary

TomTom International BV in Amsterdam is seeking a Software Engineer to build a production-ready AI product. The role covers full-stack work from feature development to infrastructure and client-side integration.

You will design and implement Python features, contribute to CI/CD and MLOps, develop evaluation systems, and ensure production readiness with robust monitoring and performance improvements.

Qualifications

• Python development for AI features and core functionalities.
• CI/CD pipelines and MLOps infrastructure experience.
• Develop in-house evaluation systems to monitor model performance.
• Client environment integration and deployment responsibilities.
• Experience with fine-tuning and prompt engineering for AI models.
• Producing reliable, scalable, production-ready software.

Responsibilities

• New Feature Development: Design, implement, and deploy new features using Python to enhance our core AI functionalities.
• DevOps/MLOps: Maintain CI/CD pipelines and MLOps infrastructure for automated training, deployment, and monitoring.
• In-house Evaluation System: Build and improve systems to measure model performance and data integrity.
• Integration and Deployment: Manage integration of AI solution into client environments.
• AI Model Improvement: Fine-tune models and apply prompt engineering techniques.
• R&D contributions: Explore new tech to give products competitive edge.

Skills

Python

DevOps

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.

03

02

01

03 02 01

Choose to lead

At TomTom, being a leader is a choice anyone can make. Unlock your potential and bridge the gap between aspiration and reality.

Better everyday

Set new limits for yourself and our tech. Join our hackathons, developer days, learning programs and more.

Find your place in the world

3,300 people 80+ nationalities 30+ offices 20+ countries