preply - Senior ML Platform Engineer (Agentic Platform)
Requirements
• 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 multi-step workflows. • AI Expertise: You're a forefront user of Agentic AI. You're able to bring hands-on experience and start influencing the team beyond code generation; reserving judgment for architecture, business logic, and security, using AI as a thought partner, and being able to set up quality gates and safety nets to enhance existing 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, its services and infrastructure (preferably AWS). • Hands-on experience with distributed tracing, system telemetry, SLOs, and incident triage. • Strong communication skills and at least C1 English level, plus willingness to join a paid on-call rotation. • Experience with agent frameworks or durable workflow technologies such as LangGraph, OpenAI Agents SDK, or Temporal. • Experience with agent evaluation, simulation, or production feedback loops. • Experience designing sandboxed execution environments, delegated authorization for autonomous systems. • Familiarity with GenAI observability and model gateways, including the boundary between a shared GenAI platform and the Agent Runtime.
Responsibilities
• Agentic AI is an increasingly important part of Preply's AI strategy. As a Senior ML Platform Engineer, you'll build the infrastructure that takes agent prototypes to production. You'll solve distributed-systems problems in long-running, non-deterministic workflows that depend on tools, human decisions, and changing context. • This is a hands-on senior role with broad technical influence. You'll write production code, shape platform abstractions and operational standards, and partner with Applied Science, Data, Product, Security and Engineering teams. • 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 while operating the platform with clear SLOs, capacity and cost controls, incident response, and operational standards.
Benefits
• An open, collaborative, dynamic, and diverse culture; • A generous monthly allowance for lessons on http://preply.com/Preply.com http://Preply.com, Learning & Development budget, and time off for your self-development; • A competitive financial package with equity, leave allowance and health insurance; • Access to free mental health support platforms; • Access to Gympass-partnered wellness and gym centers throughout London to promote and support well-being and physical health;
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