Senior Applied AI Engineer
Pleo, the spend management company serving over 40,000 customers, is hiring a Senior Applied AI Engineer to build and ship AI-powered product features. You will be one of the first hires in the Data & AI Products team, working closely with engineers and data scientists to take ideas from prototype to production, building on a decade of unique spend data. The role covers the full AI product lifecycle, from RAG system design through evaluation pipelines to production observability. Remote, hybrid or in-person setups are possible in the listed locations, but visa sponsorship is not offered.
Responsibilities
- ▹Build and ship AI-powered product features for Pleo's customers, owning outcomes end-to-end for a scoped area
- ▹Design and build end-to-end RAG systems for product use cases: chunking strategies, embedding model selection, retrieval optimisation and quality evaluation
- ▹Own the full AI-product lifecycle: prompt design, context and state management, agentic loops, output parsing, edge case handling and safe production deployment
- ▹Build evaluation datasets and automated eval pipelines to assure AI feature quality before and after changes
- ▹Instrument AI features for production observability: logging, drift detection, quality monitoring and alerting
- ▹Collaborate with Product and Design to scope AI features from first principles, co-authoring what gets built
- ▹Partner with the GenAI Platform team to identify infrastructure needs and champion adoption of platform tooling
- ▹Support other engineers through reviews, pairing and pragmatic technical leadership on the projects you lead
Requirements
- ▹Proven experience shipping customer-facing AI features using LLMs into real production systems with real users
- ▹Deep practical experience with RAG system design and the full retrieval pipeline: embedding models, vector databases, chunking, hybrid search, re-ranking
- ▹Experience building and operating evaluation frameworks for LLM-based systems, with a systematic approach to measuring quality
- ▹Strong Python engineering with production-grade, tested and maintainable code
- ▹Experience building APIs and data retrieval pipelines that feed context into AI systems
- ▹Enough data intuition to reason about data quality, schema and retrieval architecture independently
- ▹Experience with agentic system patterns: tool use, multi-step orchestration, error handling in LLM workflows
- ▹Familiarity with public cloud providers (AWS, GCP)
- ▹Openness to occasionally contribute in a Kotlin stack alongside the Python focus
Soft skills
What we offer
- ▹Your own Pleo card (no out-of-pocket spending)
- ▹Catered lunch or lunch allowance on work days, depending on the local office
- ▹Comprehensive private healthcare (Vitality, Alan or Médis depending on location)
- ▹25 days of holiday plus public holidays
- ▹Hybrid and fully remote working options
- ▹Free mental health and well-being support via MyndUp
- ▹Paid parental leave
About the company
Pleo builds spend management solutions that make handling company money seamless for finance teams and employees alike. Over its 10-year history it has grown to more than 40,000 customers, with a team of 850+ people from over 100 nationalities.