> Markdown version of [/jobs/ext/3095533-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3095533-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Tomtom - **Location:** Madrid, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Geographic Information Systems, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C++ (Programming Language), Encodings, Continuous Integration, Software Design Patterns, Monitoring of Systems, Python (Programming Language), Machine Learning, Software Architecture, Cloud Services, Tensorflow, Google Cloud, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Git, Containerization, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, Api Design, Software Version Control, Data Pipelines, Docker, Programming Languages - **Published:** September 26, 2026 - **Apply:** https://www.recruit.net/job/ai-engineer-jobs/42D0A8452126F43D ## About the Role * 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. ## Description Gain full access to exclusive job listings from leading companies worldwide. * Verified, High-Quality Jobs Only No ads, scams, or junk-just genuine opportunities. * Focus on Real Opportunities Explore thousands of open positions tailored to your lifestyle, including flexible remote jobs. * Exclusive Resume Review Receive expert feedback with personalized suggestions to enhance your resume., * 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. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Your next 10x engineer isn't in your city. Refactor accordingly.](https://www.wearedevelopers.com/videos/100103-your-next-10x-engineer-isn-t-in-your-city-refactor-accordingly) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)