Описание Preply creates learning experiences that help people find tutors, build personalized learning journeys, and stay motivated. Its platform connects over 100,000 tutors teaching more than 90 languages to learners in 180 countries.
Задачи 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, including MCP where useful
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
Operate the platform with clear SLOs, capacity and cost controls, incident response, and operational standards
Требования 5+ Years designing, building, and operating backend services or ML infrastructure handling production traffic
Strong Python skills
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 Agentic AI, influencing the team beyond code generation, applying judgment to architecture, business logic, and security, using AI as a thought partner, and setting up quality gates and safety nets to enhance engineering workflows and propose AI-native alternatives
Experience integrating production services through APIs a

📌 ML platform engineer for agentic platform (Barcelona)
🏢 Preply
📍 Barcelona