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AI Engineer, AI Platform

Volta software

Skills

Required

  • Python
  • Cloud Run
  • LLM
  • observability
  • retries
  • FastAPI
  • LLM orchestration
  • structured outputs
  • tool calling
  • fallbacks
  • GKE

Preferred

  • AI
  • GCP
  • Vertex
  • Pub/Sub
  • IAM
  • Elasticsearch
  • hybrid search
  • agent frameworks
  • cost optimisation
  • LLM workloads

Volta, a leading AI platform, as an AI Engineer. In this role, you will be responsible for making Volta's 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 understanding of observability and configuration over code.

Responsibilities

  • Mettre en œuvre la séparation des données par locataire à travers les services, le stockage, les caches et les bases de connaissances.
  • Développer des services Cloud Run pour l'ingestion, l'API, le parsing et le matching, capables d'absorber des pics de commandes.
  • 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
  • Config over code: you've built systems driven by versioned configuration, feature flags or rules, and kept them understandable

Requirements

  • 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
  • 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

Preferred

  • 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

Join

  • The position is based in Paris or Milan, with a hybrid work schedule.
  • Concevoir le modèle de configuration des locataires pour permettre l'intégration de nouveaux clients sans modifications de code.
  • 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.