Remote Senior GenAI Platform Engineer

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.

Pleo is investing heavily in AI-powered features across the product. You will be part of the GenAI Core team which is responsible for the horizontal platform infrastructure that makes this possible. They look afterLLM routing, MCP servers, vector search infrastructure, evaluation frameworks, and agentic tooling.

This is a hands-on backend/platform engineering role at the intersection of distributed systems and modern AI engineering. You will help design, build, and operate the shared AI infrastructure used by product teams across Pleo, with a strong focus on reliability, observability, security, and developer experience.

You'll be reporting to the Engineering Manager for the GenAI Platform team and will be working closely with senior and staff Engineers in GenAI Core. You will also collaborate with Applied AI Engineers, Data Scientists, and product engineering teams across the business.

As a Senior GenAI Platform Engineer you will:

• Design, build, and operate core GenAI platform components used by product teams at Pleo, including LLM routing gateway, vector search and RAG infrastructure, tool registry and MCP gateway, AI observability and evaluation tooling (tracing LLM calls, supporting human and automated evaluation, detecting drift, and tracking costs) and infrastructure for multi-step, long-running agentic workflows.

• Own production-quality delivery of platform features, from design through rollout, monitoring, and follow-up.

• Contribute to resilient system design: sensible APIs, failure handling, rate limiting, retries, idempotency, and safe change management.

• Improve reliability and observability through metrics, dashboards, alerting, incident follow-ups, and operational improvements.

• Partner with Applied AI Engineers and product teams to understand platform needs and help them build AI-powered features safely.

• Build internal SDKs, templates, and guardrails that let product engineers build AI features without needing deep infrastructure expertise.

• Support other engineers through pairing, code reviews, technical feedback, and clear documentation.

• Help evaluate build-vs-buy decisions in the rapidly evolving LLMOps tooling landscape.

You will thrive in this role if you have:

• Strong backend/systems engineering background, with experience building and operating production services with reliability and observability requirements.

• Experience designing and delivering shared platform or infrastructure components used by multiple teams.

• Strong production ownership: monitoring, alerting, incident response, debugging, and post-incident learning.

• Distributed systems fundamentals, including async workflows, idempotency, consistency tradeoffs, and designing for failure.

• Hands-on experience with LLM APIs or strong interest in learning their production failure modes: rate limits, context windows, multi-vendor routing, latency variance, and cost control.

• Security mindset for AI systems, including…