Senior AI Engineer

We’re looking for a Software Engineer to join our team and help us build a production-ready AI/data product for TomTom. The work is covering everything from new feature development to infrastructure, and data Engineering.

Responsibilities:

•

Build AI systems: Design, develop and maintain production AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, agentic workflows and ML model services.

•

Productionize models: Take models and prototypes from applied scientists and turn them into robust, low-latency, cost-efficient services that scale to global traffic.

•

Evaluation and quality: Define and automate evaluation frameworks, benchmarks and guardrails that measure accuracy, safety, latency and cost, and monitor models once they're in production.

•

Data and pipelines: Build and optimize data pipelines for training, fine-tuning, embedding and inference, making sure data is high quality, traceable and handled in line with privacy requirements.

•

MLOps and infrastructure: Implement CI/CD for ML, model versioning, experiment tracking and observability on cloud platforms.

•

Cross-functional collaboration: Work with product, engineering and science stakeholders to understand requirements, weigh trade-offs and deliver AI solutions that meet customer needs.

•

Continuous improvement: Keep up with the fast-moving AI ecosystem, evaluate new models, tools and techniques, and share what you learn with the wider engineering community.

Qualifications

• Bachelor's degree in Computer Science, Engineering, AI/ML or a related field, or equivalent professional experience.

•

Strong proficiency in one or more high-level programming languages such as C++, Java, Python, or similar languages.

•

Hands-on experience with LLMs and their ecosystem: prompt engineering, RAG, embeddings and vector databases, tool use and agent frameworks, and fine-tuning is preferred.

•

Solid understanding of software architecture, API design, design patterns and best practices for maintainable, scalable systems.

•

Experience with cloud service providers (e.g., Azure, AWS, GCP), containerization (Docker, Kubernetes) and CI/CD tools.

•

Knowledge of version control systems, preferably Git.

•

Excellent problem-solving and communication skills, with the ability to work effectively in a cross-functional team.

•

Experience with ML frameworks and libraries such as PyTorch, TensorFlow or Hugging Face is preferred.

•

Familiarity with MLOps practices and tools (e.g., MLflow, experiment tracking, model monitoring) is preferred.

•

Experience with geospatial, mapping or location data is a plus, but not required.

Find Jobs in Netherlands on Arbeitnow

Applying for the Senior AI Engineer position at Tomtom in Amsterdam, The Netherlands? Before submitting your application on Jobsfiy, review the key qualifications, core skills, and experience expectations listed above to ensure your profile highlights relevant achievements and measurable outcomes.

Recruiters and Applicant Tracking Systems (ATS) prioritize candidates whose resumes clearly align with the role's primary technical and functional competencies. You can use Jobsfiy's built-in Apply with AI Resume tool to tailor your resume summary and skill keywords specifically for this job opening, or run a free check on our ATS Testing System to verify your resume match score.

Once you submit your application, prepare for recruiter screening and technical rounds using Jobsfiy's AI Mock Interview simulator, which generates role-specific interview questions and instant feedback based on the Senior AI Engineer job description.