Senior Applied AI Engineer

Job description

Work type: Office/Remote Technical Level: Senior Job Category: Software Development 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