Artificial Intelligence Engineer

A finance company in central Madrid is hiring a Senior AI Engineer to build and productionise AI systems across trading, risk, operations, and internal automation. The role is highly engineering-focused, with an emphasis on deploying reliable ML/LLM systems into regulated, high-performance environments. This suits someone who enjoys hands-on backend engineering as much as applied AI work. Responsibilities Design and deploy production AI/ML systems for financial use cases Build and maintain LLM applications, RAG pipelines, and AI agents Develop scalable backend services and APIs for AI products Work with structured and unstructured financial datasets Optimise model inference, latency, and infrastructure costs Collaborate with quants, traders, risk, and platform engineering teams Implement monitoring, evaluation, and governance for AI systems Contribute to MLOps and cloud infrastructure practices, Central Madrid office location Long-term progression into AI leadership or principal engineering Example Tech Stack; Python PyTorch FastAPI Kubernetes PostgreSQL Redis Kafka AWS/GCP OpenAI / open-source LLMs Vector DBs (Pinecone, Weaviate, pgvector) Candidates coming from: AI startups Quant/fintech firms Big Tech applied AI teams Platform engineering + ML hybrid roles LLM infrastructure teams

Strong Python engineering experience Production experience with LLMs and modern AI tooling Experience with: PyTorch or TensorFlow FastAPI / backend API development Vector databases and RAG architectures Docker & Kubernetes AWS, GCP, or Azure Solid software engineering fundamentals Experience deploying models into production environments Strong SQL and data engineering exposure Preferred Experience in finance, trading, hedge funds, or banking Knowledge of market data systems or quantitative workflows Experience with: LangChain / LlamaIndex Airflow Kafka ML observability platforms Familiarity with AI governance in regulated environments, Senior-level engineer who can operate independently Comfortable in a fast-paced onsite environment Pragmatic builder rather than research-only background Strong communication skills with technical and non-technical stakeholders