10 x Senior AI Engineers — Madrid (Finance)
Location: Central Madrid
Work model: 5 days onsite
Salary: £75,000 – £120,000 base + 10% bonus
Industry: Financial Services / Trading / Banking Technology
Overview
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

Required Skills
- 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

Candidate Profile
- Senior-level engineer who can operate independently
- Comfortable in a fast-paced onsite environment
- Pragmatic builder rather than research-only b

📌 Artificial Intelligence Engineer (Madrid)
🏢 WHATJOBS?
📍 Madrid