Client-Facing AI Engineer — Hybrid Madrid

Quantrue; Madrid; Hybrid; EUR 90,000 - 140,000; Full time

Job summary

Quantrue in Madrid is seeking a Forward Deployed AI Engineer to design, build, and deploy AI-driven software for real-world business challenges. You will work closely with client teams to translate requirements into scalable backend services, data pipelines, and model integrations in production.

This role blends hands-on coding with architecture discussions, embracing DevOps/MLOps practices and robust testing.

Qualifications

• University: 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, Codex, ...).
• 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: solid understanding of Object-Oriented Programming principles and their application in modern codebases.
• 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 consulting will be a plus.

Responsibilities

• Design, build, and deploy AI-driven software solutions addressing real-world business problems.
• Collaborate with cross-functional stakeholders to understand requirements, prototype and implement backend services, integrate AI components.
• Ensure systems are robust, scalable, and maintainable in production environments.
• Participate in architectural discussions and knowledge sharing to support sustainable engineering practices.

Skills

ML/DL/AI methodologies

Python

DevOps/MLOps

Git advanced

English communication

Hybrid Madrid work culture

Client-facing teamwork

Cloud platforms (AWS/GCP/Azure)

Docker/Kubernetes

LangGraph or model integration

Education

Master's or PhD in engineering/CS/physics/math

Tools

GitHub Copilot

Claude Code

Codex

Docker

Kubernetes

Job description

Quantrue in Madrid is seeking a Forward Deployed AI Engineer to design, build, and deploy AI-driven software for real-world business challenges. You will work closely with client teams to translate requirements into scalable backend services, data pipelines, and model integrations in production.

This role blends hands-on coding with architecture discussions, embracing DevOps/MLOps practices and robust testing.