Staff Applied AI Engineer

PleoFinTech, Spend Management

United Kingdom; Secondary Locations: Denmark, Portugal, SpainFull-TimeStaff

Salary not disclosed

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Job Details

Proven experience shipping multiple GenAI features into production at scale in a customer-facing product.
Experience shipping multi-step, tool-using agents in a user-facing product.
Deep applied AI judgment regarding evaluation, retrieval quality, tool use, and failure modes.
Experience applying evaluation and observability to LLM systems, including tests, golden sets, and online metrics.
Solid understanding of privacy and security concerns, specifically prompt injection and data leakage risks.
Strong proficiency in modern AI stacks, including Vector DBs, orchestration, and durable execution frameworks.
Experience building APIs, services, and data retrieval pipelines like RAG.
Deep proficiency with Python for data and ML engineering, and SQL.
Extensive background in traditional ML engineering and architecting reliable, scalable data systems.
Ability to influence cross-functionally and communicate complex trade-offs to non-technical stakeholders.

Build and ship multiple AI-powered product features, including agentic workflows, spend intelligence, and automated actions.
Advise and prioritize product initiatives by working directly with Product, Design, Engineering, and business stakeholders.
Own the evaluation, monitoring, and operationalization of AI features, including managing prompt changes and tracking performance in production.
Partner with the GenAI Core platform team to validate platform choices and influence feature delivery strategy.
Establish and enforce practical standards for AI feature delivery, such as evaluation strategy, monitoring, and safety guardrails.
Upskill the team through mentorship, code reviews, and pairing.

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