AI Engineer

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 background - Strong communication skills with technical and non-technical stakeholders Package - £75k-£120k depending on experience - 10% annual bonus - Relocation support potentially available - High-impact AI transformation projects - 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