Preply

Senior ML Platform Engineer (GenAI Platform)

Preply
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21 hours ago
London, United KingdomSenior

Responsibilities

  • Architect a unified GenAI gateway with automated routing, quota controls, and resilient fallback systems across model vendors.
  • Improve system efficiency and latency through traffic management, response caching, token budgeting, and cost allocation controls.
  • Build evaluation mechanisms, prompt engineering workflows, observability, telemetry, monitoring, alerting, and safety guardrails for GenAI lifecycles.
  • Write production code and shape platform abstractions, operational standards, and self-service capabilities for product teams.
  • Partner with Applied Science, Data, Product, Security, Privacy, and Engineering teams on platform evolution.
  • Participate in incident response, blameless postmortems, monitoring, and a paid on-call rotation.

Requirements

  • 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.
  • Practical experience with GenAI systems, including vector retrieval and external provider APIs.
  • Hands-on experience using agentic AI and establishing quality gates and safety nets for engineering workflows.
  • Knowledge of distributed systems, high availability, concurrency, caching, and rate limiting.
  • Experience with at least one major public cloud and its services and infrastructure, preferably AWS.
  • Experience with distributed tracing, system telemetry, SLOs, and incident triage.
  • Strong communication skills, C1-level English, and willingness to join a paid on-call rotation.
  • Preferred: experience with AI gateways, scalable model serving, evaluation suites, prompt management, vector databases, GenAI observability tooling, Metaflow, Databricks, AWS SageMaker, open-source foundation models, GPU optimization, dynamic scaling, infrastructure cost controls, agentic workflows, multi-agent frameworks, or tool-use patterns.

Benefits

  • Open, collaborative, dynamic, and diverse culture.
  • Monthly allowance for lessons, a Learning & Development budget, and time off for self-development.
  • Competitive financial package including equity, leave allowance, and health insurance.
  • Access to free mental health support platforms.
  • Access to Gympass-partnered wellness and gym centers throughout London.
  • Opportunity to support learners and tutors through language learning and teaching across 175 countries.

Tech Stack

AWSDatabricksPython
Preply

About Preply

10,000+ employees

Preply builds an online marketplace that connects learners with human tutors for live language lessons, supported by AI tools. Consumers book 1:1 sessions and ongoing courses, while organizations use Preply Business for corporate language training; revenue comes from commissions and subscriptions. Founded in 2012 and privately held, Preply operates globally with 100,000+ tutors teaching 90+ languages.

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