Senior GenAI Platform Engineer

🕒 il y a 8 jours

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Pleo

Site WebLinkedInTous les Emplois

501 - 1000 employés

Fondée en 2015

🤝 B2B

☁️ SaaS

💳 Fintech

💰 €42 871 489 Debt Financing - Pleo en 2024-04

B2B • SaaS • Fintech

Pleo est une plateforme de gestion des dépenses pour les entreprises qui propose des cartes de société, une gestion automatisée des dépenses et des contrôles de dépenses configurables. Son message produit met en avant des revues alimentées par l'IA, des limites de carte, des flux d'approbation et d'autres outils pour gérer les dépenses d'entreprise pour les clients de petite, moyenne et grande taille. Pleo est livré sous forme de logiciel pour aider les équipes financières à contrôler, suivre et automatiser les dépenses professionnelles et l'utilisation des cartes.

Description

• 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.

🎯 Exigences

• 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 prompt injection risks, PII in logs, data leakage, and safe credential handling. • Strong programming experience in either a JVM-based language or Python. We operate a polyglot platform with components written in both Kotlin and Python, and you’ll be expected to contribute to both. • Clear communication and collaboration skills, especially when working with product teams and other engineers to turn ambiguous platform needs into practical solutions.

🏖️ Avantages

• 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