Ai Engineer (Madrid)

Ai Engineer (Madrid)

28 sep
|
TomTom
|
Madrid

28 sep

TomTom

Madrid

Experteer Overview As an AI Engineer at TomTom, you will design, build and operate AI-powered features that reach integral users. You’ll turn advances in ML and LLMs into production-ready services, collaborating with product managers, software engineers, and scientists. You will define evaluation guardrails, optimize data pipelines, and drive AI initiatives from prototype to scalable solutions. This role offers impact across location technology and an opportunity to shape how AI is built at TomTom.Compensaciones / Beneficios
- Design, develop and maintain production AI solutions, including LLM-based apps, RAG pipelines, agentic workflows and ML model services
- Productionize models into low-latency, cost-efficient services that scale to global traffic
- Define automated evaluation frameworks, benchmarks and guardrails for accuracy, safety, latency and cost
- Build and optimize data pipelines for training, fine-tuning, embedding and inference with high quality and privacy compliance
- Implement CI/CD for ML, model versioning, experiment tracking and observability on cloud platforms
- Collaborate with product,



engineering and science stakeholders to meet customer needs
- Stay up-to-date with AI advancements and share learnings with the engineering communityResponsabilidades
- Bachelor's degree in Computer Science, Engineering, AI/ML or related field or equivalent experience
- Strong programming skills in C++, Java, Python or similar
- Hands-on experience with LLMs, prompt engineering, RAG, embeddings, vector databases, tool use and agent frameworks; fine-tuning preferred
- Solid software architecture, API design and scalable systems practices
- Experience with cloud providers (Azure, AWS, GCP), Docker, Kubernetes and CI/CD tools
- Knowledge of version control (Git)
- Excellent problem solving and cross-functional communication
- Experience with ML frameworks such as PyTorch, TensorFlow or Hugging Face; familiarity with MLOps tools (MLflow, experiment tracking, model monitoring) preferred
- Experience with geospatial, mapping or location data is a plusRequisitos principales
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📌 Ai Engineer (Madrid)
🏢 TomTom
📍 Madrid

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