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# Forward Deployed AI Engineer

- **Company:** Quantrue
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Programming, DevOps, Python (Programming Language), Object-Oriented Software Development, Google Cloud, GitHub Copilot, Git, Containerization, Kubernetes, Information Technology, Production Code, Codebase, Machine Learning Operations, Api Design, Data Pipelines, Docker
- **Published:** August 11, 2026
- **Apply:** https://es.trabajo.org/oferta-4112-bf69d9bf5e03b9af85b5c99d2f841391

## About the Role

solid understanding of Object-Oriented Programming principles and their application in modern codebases. Nice to have: expertise in optimization methodologies. Soft skills: Ability to collaborate with non-technical stakeholders, translate business needs into technical solutions, and communicate clearly in English; Spanish proficiency is a plus. Comfort operating in client-facing environments, with a proactive mindset and willingness to work in a hybrid setup in Madrid. Recent graduates are welcome. Experience in data science consulting will be a plus. Primary location: Madrid (Spain). Job type: full time with a hybrid remote-office setting. Main contact: Jordi Serra - jserra@quantrue.com

## Description

model integration to API design, testing, and monitoring in production environments. You will also participate in architectural discussions and knowledge sharing to support sustainable, high-quality engineering practices. This is a full-time hybrid role based in Madrid, with a mix of on-site collaboration (either at our client's offices our ours) and flexibility for work-from-home. Required qualifications Hard skills: Technical master's or PhD degree: engineering, computer science, physics, maths, etc. Expertise in ML/DL/AI methodologies. User of an agentic developer workbench (GitHub Copilot, Claude Code). Proficiency in programming, with experience delivering production-ready code. Python is a must. Experience in DevOps/MLOps practices, advanced Git. Experience working with AI/ML systems (e.g., integrating models, data pipelines, LangGraph). Familiarity with cloud platforms (such as AWS, GCP, Azure) and/or containerization/orchestration tools (e.g., Docker, Kubernetes). Nice to have


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