Requisition ID1738-Posted07/15/2026-Spain

Making Science is an international digital acceleration company with over 1,200 experts across 15 markets, including Spain, Portugal, Mexico, Colombia, France, Italy, the UK, Ireland, Sweden, Denmark, Norway, Finland, Germany, Georgia, and the USA. As a proud consulting partner of Local Planet — the world’s premier network of independent media agencies — we deliver a suite of digital, technology, and performance marketing services to a global clientele. Our expertise spans digital marketing and MarTech, software and cloud solutions, artificial intelligence, and SaaS, all underscored by a relentless pursuit of innovation. Making Science was ranked 15th in the FT1000: Europe's Fastest-Growing Companies 2023. Committed to making a positive impact, Making Science actively engages in various ESG initiatives. We’ve joined forces with the Climate Pledge, the United Nations Global Compact, and Pledge1%, dedicating resources and efforts to support non-profit organizations. Through these endeavors, we are committed to driving meaningful change for a brighter, more sustainable future. As part of its commitment to innovation, Making Science offers its clients end-to-end capabilities required for consulting, development, integration, and maintenance of advanced IT solutions. Our global network of delivery hubs not only fosters job growth but also serves as an incubator for cultivating top-tier tech talent, fueling projects that accelerate transformation and modernisation. Our team is composed of digital native professionals, who have a wide knowledge in the different stages and disciplines of the digital transformation: Digital Strategy, Infrastructures, Software Development, Creativity and UX/UI Design, Digital Marketing, and Big Data. Making Science is People Centric, and we actively bet on our employees We believe that they are the key to any successful business, and therefore, our greatest asset. We strive to provide daily learning opportunities for those who work with us and their colleagues. It is also really important that they enjoy what they do, and have positive experiences. We want our employees to feel proud of their accomplishments, and that they belong to a company that is in constant growth, because each person’s contribution is essential to achieve our success.

We believe in the power of diversity and the value of inclusion.At Making Science, our unique experiences, backgrounds, and perspectives are what drive our innovation and success. We are dedicated to providing an equitable hiring process and an inclusive work environment where all individuals are respected and feel they belong. Join us and bring your whole self to work

You will join the AI Forge engine within our newly launched AWAKE Venture Studio, working in a high-performance, flat-structured squad directly alongside our CEO, product innovators, and researchers. Our mission is to industrialize AI innovation by rapidly taking projects from PoC to global scale, with your immediate focus being Ally Partner—our corporate AI agent currently in active production. We combine a fast-paced, experimental startup culture with the robust, enterprise-grade MLOps and shared infrastructure of a general consultancy with hubs in Madrid, Chicago, and Tbilisi.

What we’d like you to do

Build & Prototype from Scratch: Turn bold concepts into working products using Python (FastAPI), running fast prototyping cycles in an experimental environment.

Develop Advanced Retrieval Systems: Design and scale production-grade RAG and GraphRAG systems integrating Neo4j and vector databases like Qdrant, Pinecone, or pgvector.

Orchestrate Multi-Agent Workflows: Build complex agent-to-agent (A2A) architectures and model routing using LangGraph, LangChain, LlamaIndex, and the Model Context Protocol (MCP).

Deploy & Scale MLOps: Manage the full product lifecycle on Google Cloud Platform (GCP) using Vertex AI, GKE, and Cloud Run. Set up model serving (vLLM, Ollama) and continuous observability/evaluation (Langfuse, Phoenix, W&B;).

Evaluate State-of-the-Art Models: Continuously benchmark foundational models (OpenAI, Anthropic, Gemini, Llama) to define technical feasibility and feature roadmaps.

Security & Compliance: Adhere to our Information Security Best Practices, participate in Disaster Recovery drills, and follow our Good Environmental Practices Manual.

What we’d like you to bring

Proven AI Production Track Record: Solid experience shipping LLM-based applications and Generative AI solutions to actual production environments with real active users.

Deep Python Expertise: Expert knowledge of the Python ecosystem, including pa

📌 Senior AI Engineer (Madrid)
🏢 Making Science Group
📍 Madrid