Senior Applied AI Engineer

Pleo
United Kingdom, Denmark, Portugal, Spain
Workplace: RemoteFull timeFunction: Data Science & Machine LearningSkills: ["Product instincts","Collaboration","Technical leadership","Communication"]

Build and ship customer-facing AI features end-to-end for a decade of unique spend data. Design production-ready RAG systems, including retrieval pipelines, evaluation datasets, and LLM feature quality monitoring. Own the AI product lifecycle—prompt/context management, agentic loops, output parsing, observability, and safe deployment—while partnering closely with Product, Design, and GenAI platform teams. Provide pragmatic technical leadership through reviews and pairing.

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FursaFursa
Pleo
Pleo
1 month ago

Senior Applied AI Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Build and ship customer-facing AI features end-to-end for a decade of unique spend data. Design production-ready RAG systems, including retrieval pipelines, evaluation datasets, and LLM feature quality monitoring. Own the AI product lifecycle—prompt/context management, agentic loops, output parsing, observability, and safe deployment—while partnering closely with Product, Design, and GenAI platform teams. Provide pragmatic technical leadership through reviews and pairing.
Location: United Kingdom, Denmark, Portugal, Spain
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and ship AI-powered product features end-to-end for a scoped area, owning outcomes.
  • •Design and implement end-to-end RAG systems for specific product use cases, including retrieval optimization and quality evaluation.
  • •Own the AI-product lifecycle: prompt design, context/state management, agentic loops, output parsing, edge cases, and safe production deployment.
  • •Create evaluation datasets and automated eval pipelines to validate AI feature quality before and after changes.
  • •Instrument AI features for production observability (logging, drift detection, quality monitoring, alerting) and collaborate with Product/Design to scope features.

Pay and Benefits

Perks:Health InsuranceMeal AllowancePaid LeaveParental LeaveRemote Work

Key Requirements

  • •Proven experience shipping customer-facing AI features using LLMs into production with real users.
  • •Deep practical experience designing RAG systems and the full retrieval pipeline, including embedding models, vector databases, chunking, hybrid search, and re-ranking.
  • •Experience building and operating evaluation frameworks for LLM-based systems with a systematic approach to quality measurement.
  • •Strong Python engineering with production-grade, tested, maintainable code.
  • •Experience building and operating evaluation and production-ready systems (e.g., APIs/data retrieval pipelines) and familiarity with public cloud providers (AWS, GCP).
Skills:Product instinctsCollaborationTechnical leadershipCommunication
Languages:English
Tech Stack:PythonKotlinLLMsRAGVector databasesAWSGCP

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Pleo
Provides spend management software that helps businesses issue company cards, control expenses, automate reimbursements, and track team spending in one platform. Aims to simplify financial workflows for modern companies.
Industry: Fintech Infrastructure
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Copenhagen, Denmark
Founded: 2015
WebsiteLinkedIn