Staff Applied AI Engineer

🔥 13 minutes ago

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Pleo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2015

🤝 B2B

☁️ SaaS

💳 Fintech

💰 $42.9M Debt Financing - Pleo on 2024-04

B2B • SaaS • Fintech

Pleo is a spend-management platform for businesses that provides company cards, automated expense management and configurable spend controls. Its product messaging highlights AI-powered reviews, card limits, approval flows and other tools to manage corporate spending for small, medium and enterprise customers. Pleo is delivered as software to help finance teams control, track and automate business expenses and card usage.

📋 Description

• Build and ship multiple AI-powered product features, setting the bar for delivery at Pleo, across agentic workflows, spend intelligence, automated actions, and more. • Bring deep applied AI expertise and strong judgment on trade-offs (quality vs latency/cost, build vs buy, agent patterns vs simpler approaches) and help teams avoid hype-driven decisions. • Work directly with Product, Design, Engineering, and business stakeholders to advise and prioritise on what's actually worth building. You aren't just implementing specs, you're discovering and defining the product. • Own the evaluation, monitoring, and operationalisation of AI features: setting up evals, tracking drift and performance, and managing prompt changes safely in production. You will help establish how Pleo does this at scale and own the development in production. • Act as a design partner to the GenAI Core platform team: challenge decisions with evidence from real feature delivery, bring clear requirements, and validate platform choices in production. • Establish and enforce practical standards for AI feature delivery in product squads (evaluation strategy, monitoring expectations, safe prompt/versioning practices, privacy & safety guardrails) using GenAI Platform tooling (not building the platform itself). • Upskill the team through mentorship, reviews, pairing, and lightweight playbooks that make other engineers faster.

🎯 Requirements

• Proven experience shipping multiple GenAI features into production, at scale in a customer-facing product. You've moved past prototype phases and ideally have experience shipping multi-step, tool-using agents in a user-facing product. • The ability to translate complex business challenges and product visions into scalable AI solutions. In other words, you can autonomously scope, design and build. • Deep applied AI judgment: you can reason about evaluation, retrieval quality, tool use, failure modes, and what is/isn’t worth building. • Experience applying evaluation and observability to LLM systems (tests, golden sets, online metrics, monitoring) and using those signals to iterate. • Strong understanding of privacy and security concerns when building LLM applications: prompt injection, handling PII and data leakage risk. • Solid experience with the modern AI stack including Vector DBs, orchestration and durable execution frameworks, and LLM APIs. • Experience building APIs, services and data retrieval pipelines (RAG, vector search etc) to feed data into LLMs. • Deep proficiency with Python for both data and ML engineering, SQL and major cloud providers. • An extensive background in traditional ML engineering and a deep understanding of how to architect and build data systems for reliable and scalable production-use. • Ability to influence cross-functionally with Product/Design/Engineering and bring teams along on decisions.

🏖️ Benefits

• Your own Pleo card (no more out-of-pocket spending!) • Lunch is on us for your work days - enjoy catered meals or receive a lunch allowance based on your local office • Comprehensive private healthcare - depending on your location, coverage options include Vitality, Alan or Médis • We offer 25 days of holiday + your public holidays • For our Team, we offer both hybrid and fully remote working options • We use MyndUp to give our employees access to free mental health and well-being support with great success so far • Paid parental leave - we want to make sure that we're supportive of families and help you feel that you don't have to compromise your family due to work