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.
Specific tooling such as AWS Bedrock, OpenAI APIs, or Langfuse (or comparable eval platforms).

Adaptable working format - remote, office-based or flexible
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Project:

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