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Preply

Online language-learning marketplace connecting live tutors

Senior ML Platform Engineer - Agentic Platform

Platform EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKHybrid

About the Job

Requirements

  • At least 5 years of experience designing, building, and operating backend services or machine-learning infrastructure handling production traffic.
  • Strong Python skills and experience building developer-facing application programming interfaces, software development kits, or shared libraries.
  • Experience building generative-AI-powered or agentic systems using tool or function calling, structured outputs, and multi-step workflows.
  • Hands-on experience with agentic AI, including 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 or 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, service-level objectives, and incident triage.
  • Strong communication skills, English proficiency at least at C1 level, and willingness to join a paid on-call rotation.

Responsibilities

  • 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 Model Context Protocol 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 software development kits, 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 service-level objectives, capacity and cost controls, incident response, and operational standards.
  • Write production code, shape platform abstractions and operational standards, and partner with Applied Science, Data, Product, Security, and Engineering teams.

Desired Qualifications

  • 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 and delegated authorization for autonomous systems.
  • Hands-on experience with MCP Gateway.
  • Familiarity with generative-AI observability and model gateways, including the boundary between a shared generative-AI platform and the Agent Runtime.

About the Company

Preply

Online language-learning marketplace connecting live tutors

Preply is an online language-learning marketplace that connects learners with live tutors for 90+ languages across 180 countries. Through the platform, students can choose a language, browse tutors, schedule lessons, and receive video-based instruction from tutors around the world. Lessons are supported by an AI co-pilot toolkit that helps with practice, personalization, and learning data to aid the tutoring process. What sets Preply apart is its large, global network of more than 100,000 tutors, a broad language catalog, and a focus on combining human teaching with AI-assisted tools, backed by strong funding and profitability signals (it became EBITDA-positive) and a recent €127 million Series D to expand AI/data capabilities, product and engineering hiring, and global growth. The company’s goal is to make language learning accessible and effective for learners anywhere by scaling high-quality tutoring worldwide and enhancing it with AI-driven tools.

Company size
10,001+
Company stage
Series D
Total funding
$321.9M
Headquarters
Brookline, MA
Founded
2012

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