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 and events, including authentication, authorization, and secure service-to-service interaction
- Experience with at least one major public cloud and its services and infrastructure; AWS is preferred
- Hands-on experience with distributed tracing, system telemetry, SLOs, and incident triage
- Strong communication skills
- English at C1 level or higher
- Willingness to join a paid on-call rotation
- Будет плюсом: experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK, or Temporal; agent evaluation, simulation, or production feedback loops; sandboxed execution environments; delegated authorization for autonomous systems; MCP Gateway; GenAI observability and model gateways, including the boundary between a shared GenAI platform and the Agent Runtime

Условия

- A generous monthly allowance for lessons, a Learning & Development budget, and time off for self-development
- A competitive financial package with equity, leave allowance, and health insurance
- Relocation package to join the Barcelona Hub
- Free mental health support platforms
- Access to Gympass-partnered wellness and gym centers throughout Spain

#J-18808-Ljbffr

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