Senior ML Platform Engineer
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As 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 / Beneficios
• Build 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
Responsabilidades
• Proven 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 xghoner 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
Requisitos principales
• equity
• health insurance
• relocation package
• learning u0026 development budget
• paid on-call rotation stipend
• gym and wellness partnerships
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