AI Engineer, AI Platform

Join Volta as an AI Engineer and help make our AI pipeline production-grade at enterprise scale. You will design the tenant configuration model, implement multi-tenancy, scale the pipeline, and ensure observability and cost control. You will also focus on security and accuracy in the delivery pipeline. The ideal candidate has 4+ years of experience in building production backend services in Python, experience with multi-tenant SaaS, and a strong focus on observability.

Missions

• Concevoir le modèle de configuration des locataires pour permettre l'intégration de nouveaux clients.
• Mettre en œuvre la séparation des données par locataire à travers les services, le stockage et les caches.
• Développer des services Cloud Run pour l'ingestion, l'API, le parsing et le matching, capables d'absorber des pics de commandes.

Profil recherché

* Distributed systems done right: queues, async processing, idempotency, retries, back-pressure, concurrency on shared databases

* Multi-tenant SaaS: you've designed or operated a system serving many customers with real isolation requirements

* Observability first: you've instrumented services with tracing and metrics and used them to debug production

* Config over code: you've built systems driven by versioned configuration, feature flags or rules, and kept them understandable

* Must have: strong Python (FastAPI or similar), typing, tests; production LLM orchestration (structured outputs, tool calling, retries and fallbacks, prompt versioning); containerised services on Cloud Run, GKE, EKS or ECS; tracing and LLM observability (Langfuse, OpenTelemetry or similar); CI/CD and automated testing of non-deterministic systems; fluent English

* Nice to have: GCP (Cloud Run, Vertex AI, Pub/Sub, IAM); Elasticsearch or hybrid search; agent frameworks; cost optimisation of LLM workloads; GDPR and data residency in practice; French or Italian

* Location: Paris or Milan, hybrid, 3 office days a week