Our client is a fast-growing European fintech company in the business spend management space. We're looking for a Senior Applied AI Engineer to design, build and ship customer-facing AI features end-to-end.
Ship external customer-facing LLM-based features into production, with safe production deployment practices.
Do hands-on evaluation-pipeline and observability work: drift detection, quality monitoring.
Reason independently about retrieval architecture using strong data fluency.
Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
Python (Python-first).
Hands-on evaluation-pipeline and observability work: drift detection,



quality monitoring.
Data fluency to reason about retrieval architecture independently.
concrete evidence of having built/operated this kind of tooling, not just used it.
Claude Code and GitHub Copilot.
Nice-to-Have: Specific tooling such as AWS Bedrock, OpenAI APIs, or Langfuse (or comparable eval platforms).
Flexible working format - remote, office-based or adaptable
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Project:

📌 Applied AI Engineer (Madrid)
🏢 N-iX
📍 Madrid