Overview
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-faci
Full job description
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. Responsibilities Design, build and ship customer-facing AI features end-to-end, including RAG system design (chunking, embedding selection, retrieval, re-ranking) and agentic workflows. 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. Apply real engineering rigor to the Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe the context that powers AI agents. Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation. Embed directly into a client squad as a hands-on Individual Contributor. Requirements: Python (Python-first). RAG system design: chunking, embedding selection, retrieval, re-ranking. Agentic workflows; safe production deployment. Proven experience shipping external customer-facing LLM-based features to production (not prototypes). Hands-on evaluation-pipeline and observability work: drift detection, quality monitoring. Data fluency to reason about retrieval architecture independently. Agent & harness engineering fluency — designing guardrails, context and verification layers for safe, reliable AI-assisted delivery; concrete evidence of having built/operated this kind of tooling, not just used it. Comfortable with the client's current daily tools: Claude Code and GitHub Copilot. Nice-to-Have: Specific tooling such as AWS Bedrock, OpenAI APIs, or Langfuse (or comparable eval platforms). We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers
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