Senior Applied AI Engineer

📋 Description

• Build and ship AI-powered product features for Pleo’s customers, owning outcomes end-to-end for a
• Design and build end-to-end Retrieval-Augmented Generation (RAG) systems: chunking, embeddings
• Own the full AI-product lifecycle: prompts, context/state management, agentic loops, output
• Build evaluation datasets and automated eval pipelines to ensure AI feature quality before and
• Instrument features for production observability: logging, drift detection, quality monitoring
• Collaborate with Product and Design to scope AI features from first principles; you co-author what

🎯 Requirements

• Proven experience shipping customer-facing AI features using LLMs in production.
• Deep practical experience with RAG systems: embeddings, vector databases, chunking, hybrid search
• Experience building and operating evaluation frameworks for LLM-based systems.
• Strong Python engineering; production-grade, tested, maintainable code.
• Experience building APIs and data retrieval pipelines that feed context into AI systems.
• Data intuition for data quality, schema, and retrieval architecture; capable without a dedicated

🎁 Benefits

• Hybrid/remote working options; location flexibility in listed countries.
• Your own Pleo card and lunch allowance; private healthcare options.
• 25 days of holiday plus public holidays; mental health and well-being support.
• Paid parental leave; opportunity for career development and leadership growth.