Forward Deployed AI Engineer

Quantrue; Madrid; Hybride; EUR 90 000 - 140 000; Plein temps

Résumé du poste

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.

Responsabilités

• 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.

Connaissances

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

Formation

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

Outils

GitHub Copilot

Claude Code

Codex

Docker

Kubernetes

Description du poste

We're a forward-deployed AI engineering firm that partners closely with clients to build and deploy tailored AI solutions. We focus on transforming complex business challenges into practical, production-grade technology that generates measurable impact. We emphasize co-development, working side by side with client teams to accelerate innovation and delivery.

Team members join a fast-moving environment where applied AI, engineering excellence, and business outcomes intersect.

As a Forward Deployed AI Engineer at Quantrue, you will work directly with clients to design, build, and deploy AI-driven software solutions that address real-world business problems. On a day-to-day basis, you will collaborate with cross-functional stakeholders to understand requirements, prototype and implement backend services, integrate AI components, and ensure systems are robust, scalable, and maintainable. You will contribute to end-to-end development, from data processing and 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

• 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.

Primary location: Madrid (Spain)

Job type: full time with a hybrid remote-office setting.