AI Engineer, AI Platform

• Backend engineer who moved into AI systems: 4+ years building production backend services in Python, at least one or two on LLM-powered systems in production

• 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

At Volta, we believe diversity makes our teams stronger. We welcome all applications, regardless of gender, background, or experience.