Staff Engineer (GenAI Core)

Pleo
Copenhagen, London, Madrid, LisbonPosted 27 March 2026

Job Description

Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike—with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. At Pleo, we're on a mission to make spend management surprisingly effective and empowering. We're hiring a Staff Engineer to join the GenAI Core team. You will help set technical direction for Pleo's AI platform, the shared infrastructure that enables product teams across the company to build AI-powered features reliably and at scale. What GenAI Core does GenAI Core owns and operates Pleo's AI platform infrastructure. We are the team that makes it possible for every other product team at Pleo to build AI-powered features, reliably, observably, and without reinventing the wheel. That means: LLM routing and access: a centralised LLM proxy layer (LiteLLM) that routes requests to different model providers (Azure OpenAI, AWS Bedrock, Google Gemini), with budget enforcement and rate limiting Observability and evaluation: integrations and tooling (BrainTrust) to monitor, log, and evaluate LLM calls in production, supporting both automated evaluation and human review Platform standards and guidance: we define how AI is done at Pleo, providing patterns, contracts, and shared components that product teams build on Internal consulting: as product teams across Pleo adopt AI capabilities, GenAI Core will increasingly act as a technical partner, helping teams design and implement AI features correctly on top of the platform This is software engineering work. While the domain revolves around AI infrastructure, you will spend most of your time building reliable, scalable backend systems. What you’ll be doing In this role, you will be a force multiplier for platform quality and technical direction. Drive the design, delivery, and evolution of the GenAI Core platform, the shared AI infrastructure used by all product teams at Pleo Own and evolve service architecture, APIs, and integration contracts, with a high bar for reliability and observability Set technical direction for key parts of the platform, including LLM routing, budget enforcement, observability pipelines, and evaluation infrastructure Lead cross-team technical initiatives and act as a trusted technical partner when product teams need to build AI-powered features on top of the platform Raise the engineering bar through strong practices: code reviews, incident follow-ups, safe change management, and resilient system design Proactively identify and address technical debt, and guide the team through architectural decisions and migrations Support other engineers through pairing, reviews, and technical guidance Contribute hands-on in code. You should expect to be coding a meaningful part of the time. You’ll bring solid experience with Designing and maintaining backend systems with strong requirements for reliability and observability Building and operating a shared platform or infrastructure components used by multiple teams Distributed ... (truncated, view full listing at source)
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