> Markdown version of [/jobs/ext/2350442-ai-ml-engineer](https://www.wearedevelopers.com/jobs/ext/2350442-ai-ml-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/ML Engineer - **Company:** Quotient - Ai By Oliver Wyman - **Location:** Madrid, Spain (Remote available) - **Salary:** €60,000.0 - €76,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Software Engineering, Large Language Models, Multi-Agent Systems, Free and Open-Source Software, Front End Software Development, Virtual Agents - **Published:** August 3, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role We are hiring across a spread of strengths. You do not need to fit every track, but you should be strong in one and comfortable collaborating across all three. + Software-engineering-leaning You bring strong software development fundamentals and take ownership of robustness, structure, and production quality. + Data-science-leaning You bring strong ML and analytical grounding and are closest to the data science craft. + Core AI / agents You bring depth in modern agent frameworks and LLM application patterns, with a practical understanding of what it takes to make them work in real settings., We are looking for engineers who combine strong hands-on technical skills with a pragmatic, ship-it mindset. The right person will be comfortable making consequential design calls quickly, iterating fast, and working across both engineering and business conversations. This role is well suited to someone who wants to work at the intersection of AI engineering, consulting, productization, and delivery., + Fluency in Python and modern AI / ML tooling across the build lifecycle. + Hands-on experience shipping LLM-based or ML solutions, ideally under time pressure. + For the data-science-leaning track: strong grounding in the mathematics of ML, including statistics and linear algebra, plus a range of modelling techniques. + For the software-engineering-leaning track: strong engineering practice, including testing, code hygiene, and deployment. + Ability to make practical design decisions quickly and keep moving. + Experience building solutions that are useful in real-world settings, not only in experiments. + Full professional English. + Spanish welcome., + Interest or background in Banking & Financial Services. + Open-source contributions or compelling side projects. + Experience working with agent frameworks, LLM application patterns, or data / AI workloads in production. + Experience building solutions designed for reuse, scale, or productization. + Comfort working in a fast-moving environment with multiple concurrent priorities. ## Description WAVE is a newly created team within Quotient. It exists to accelerate AI-enabled business development and help our teams move faster, think differently, and build with reuse in mind. As an AI Engineer, you will be one of the build engines of WAVE. You will turn briefs into working prototypes and production-ready solutions, with a focus on agent- and LLM-based work, and traditional ML where that is the right tool for the problem. This is a hands-on role for engineers who want to move quickly, make practical design decisions, and build solutions that are useful, reusable, and worth scaling. We are hiring sevaral AI Engineers across a deliberate spread of strengths, so the team covers the full range from software engineering to data science to modern AI and agent design., You will help WAVE turn ideas into usable technical solutions that support business development and project execution. You will: + Build AI agent and LLM-based solutions that support Bunisess Development and project execution. + Develop traditional ML and analytical models where they are the best fit for the problem. + Prototype disruptive delivery formats, including agents, avatars, and visual formats that can reduce dependence on slides and meetings. + Build with reuse and scale in mind, coordinating with Quotient Inside when a solution is ready to be productized. + Work closely with the Technical Business Partner to translate business needs into technical execution. + Collaborate with the Platform / Infrastructure Engineer to deploy solutions reliably and maintainably. + Pair with the Front-end / AI Content Creator on client-facing outputs and presentation formats where needed. + Join client discussions when technical credibility needs to be demonstrated or explained. + Help the team move quickly from experiment to delivery while keeping quality high. ## Related Videos - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Designing and Deploying Distributed Multimodal Multi-Agent Systems with Google's AI Stac](https://www.wearedevelopers.com/videos/1976-designing-and-deploying-distributed-multimodal-multi-agent-systems-with-google-s-ai-stac) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) - [Agentic AI Systems for Critical Workloads](https://www.wearedevelopers.com/videos/1592-agentic-ai-systems-for-critical-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)