Staff Applied AI Engineer: Build Production AI Features

WeHireYou

Greater London

On-site

GBP 110,000 - 160,000

Full time

14 days+

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Job summary

Pleo is hiring an Staff Applied AI Engineer to shape AI-powered product features using its rich spend data. You will work with engineers, data scientists and product teams to move ideas from prototype to production, delivering value to 40,000+ customers.

You’ll own evaluation, monitoring and safe deployment of AI features, while aligning with privacy, security and performance requirements across the stack.

Qualifications

  • Proven experience shipping GenAI features into production, ideally multi-step agents in user-facing products.
  • Translate complex business challenges into scalable AI solutions for production use.
  • Experience with evaluation, observability, and monitoring of LLM systems in production.
  • Strong understanding of privacy and security in LLM applications.

Responsibilities

  • Build and ship multiple AI-powered product features across agentic workflows and spend intelligence.
  • Provide input on trade-offs (quality vs latency/cost, build vs buy) and avoid hype-driven decisions.
  • Collaborate with Product, Design, Engineering and stakeholders to define what is worth building.
  • Own evaluation, drift tracking, and operationalization of AI features in production.
  • Partner with GenAI Core platform to validate platform choices in production.
  • Establish standards for AI feature delivery including evaluation strategy and safe practices.
  • Upskill the team through mentorship and lightweight playbooks.

Skills

GenAI feature delivery
Applied AI engineering
LLM systems observability
Data-driven product development
Privacy and security by design
Cross-functional leadership
Mentorship and knowledge sharing
Python for data/ML
SQL
Cloud provider expertise
Vector databases
RAG and vector search pipelines
APIs and data pipelines

Tools

Python
SQL
Kubernetes
GCP
BigQuery
Airflow
AWS
Kotlin
Javascript
Typescript

Job description

Pleo is hiring an Staff Applied AI Engineer to shape AI-powered product features using its rich spend data. You will work with engineers, data scientists and product teams to move ideas from prototype to production, delivering value to 40,000+ customers.

You’ll own evaluation, monitoring and safe deployment of AI features, while aligning with privacy, security and performance requirements across the stack.

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