OverviewAs a Senior ML Platform Engineer at Preply, you will elevate Agentic AI from prototype to production, shaping durable runtime and secure tooling for stateful, AI-powered agents.

You'll collaborate across Engineering, Applied Science, Data, and Security to implement robust infrastructure, observability, and governance.

You'll influence platform design and tackle distributed, long-running workflows in a fast-growing AI-centric product.

Join a mission to scale AI-enabled learning experiences globally and power reliable, impactful agent systems.

Compensaciones / Beneficiosequity health insurance relocation package learning & development budget paid on-call rotation stipend gym and wellness partnerships

ResponsabilidadesBuild a durable agent runtime with checkpoints, retries, timeouts, resumability, and deterministic recovery where possible

Create a secure tool layer for discovery, registration, invocation and versioning across internal APIs and external services

Own agent state, context and memory primitives with clear lifecycle, privacy, retention and retrieval semantics

Design identity, scoped permissions and human controls for authorization, approvals, escalation and handoffs

Develop guardrails for tool access, policy enforcement, argument validation, sandboxing and action limits

Provide end-to-end observability, trace replay and scenario-based evaluation across plans, model calls,



tool calls, state transitions and outcomes

Ship SDKs, templates, local tools, documentation and paved-road patterns so teams can build agents without re-solving runtime infrastructure

Evaluate frameworks, workflow engines, and tool protocols while operating the platform with clear SLOs, capacity and cost controls, incident response, and operational standards

Requisitos principalesProven track record (5+ years) designing, building, and operating backend services or ML infrastructure handling production traffic

Strong Python skills and experience building developer-facing APIs/SDKs or shared libraries

Experience building GenAI-powered or agentic systems using tool or function calling, structured outputs, and multi-step workflows

Hands-on experience with distributed tracing, system telemetry, SLOs, and incident triage

Experience integrating production services through APIs and events, including authentication, authorization, and secure service-to-service interaction

Experience with at least one major public cloud, its services and infrastructure (preferably AWS)

Strong communication skills and at least C1 English level, plus willingness to join a paid on-call rotation

Strong communication skills

Collaborative mindset

Growth mindset

Python

APIs/SDKs development

GenAI-powered systems

📌 Senior Ml Platform Engineer (Agentic Platform) (Barcelona)
🏢 Preply
📍 Barcelona