Senior AI Engineer — Production ML & LLM Systems

TomTom; Amsterdam; Hybrid; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

TomTom is seeking a Software Engineer to build a production-ready AI/data product. You will design, develop and maintain AI solutions including LLM-based apps and MLOps pipelines, spanning feature development to infrastructure and data engineering.

You will productionize models and build robust services that scale to global traffic, while defining evaluation frameworks and guardrails for accuracy, latency and cost. Join a cross-functional team and help advance TomTom's AI capabilities.

Qualifikationen

• Bachelor's degree or equivalent experience.
• Strong coding skills in Python/C++ and related languages.
• Hands-on experience with LLMs, RAG and embeddings.
• Knowledge of software architecture and API design.
• Experience with cloud providers, containers and CI/CD tools.
• Familiarity with Git and version control.
• Excellent problem-solving and communication in cross-functional settings.
• Experience with PyTorch, TensorFlow or Hugging Face.
• Familiarity with MLOps tools and practices.
• Experience with geospatial data is a plus.

Aufgaben

• Build production AI solutions including LLM-based apps and ML services.
• Productionize models to be low-latency and scalable.
• Define evaluation benchmarks and monitor models in production.
• Build and optimize data pipelines for training and inference.
• Implement MLOps, model versioning and observability on cloud platforms.
• Collaborate with product, engineering and science stakeholders.
• Keep up with AI ecosystem and share learnings with the team.

Kenntnisse

Python

C++

LLMs / NLP

Data pipelines

Cloud / CI/CD

Ausbildung

Bachelor's degree in Computer Science or related

Jobbeschreibung

TomTom is seeking a Software Engineer to build a production-ready AI/data product. You will design, develop and maintain AI solutions including LLM-based apps and MLOps pipelines, spanning feature development to infrastructure and data engineering.

You will productionize models and build robust services that scale to global traffic, while defining evaluation frameworks and guardrails for accuracy, latency and cost. Join a cross-functional team and help advance TomTom's AI capabilities.