Senior GenAI Platform Engineer (Hybrid, London)

Preply; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Lessons allowance

Learning & Development budget

Health insurance

Mental health support

Gym access London

Global reach

Job summary

Preply is seeking a Senior ML Platform Engineer to design and expand GenAI platform infrastructure in London. You will build production-grade systems behind GenAI workloads, shaping platform abstractions, and supporting self-service capabilities for product teams.

As a hands-on senior contributor, you will write production code, drive architectural decisions, and collaborate with Applied Science, Data, Product, Security and Engineering teams to deliver reliable, scalable GenAI capabilities.

Qualifications

• 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, external provider APIs, and common issues.
• AI Expertise: You're a forefront user of Agentic AI and can influence architecture and safety nets beyond code generation.
• Sound knowledge of distributed systems, including high availability, concurrency, caching and rate limiting.
• 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.

Responsibilities

• Architect unified gateway with automated routing, quota controls, and resilient fallback systems across model vendors.
• Drive system efficiency and low latency via dynamic traffic management, response caching, token budgeting, and cost allocation controls.
• Establish robust evaluation mechanisms to guarantee high precision, stability, and safety in model outputs.
• Deliver system observability, providing deep tracing, performance telemetry, cost analytics, continuous monitoring, and alerting across GenAI lifecycles.
• Standardize prompt engineering workflows with automated versioning, automated testing, governance, and CI/CD integrations for production delivery.
• Embed platform guardrails alongside Security and Privacy experts to enforce policies, and safe production defaults automatically.
• Maintain sustainable incident response, blameless postmortems, and comprehensive monitoring for GenAI stacks.

Skills

Python

GenAI systems

Distributed systems

APIs/SDKs

Cloud AWS

Observability

English (C1)

Tools

AWS

Job description

Preply is seeking a Senior ML Platform Engineer to design and expand GenAI platform infrastructure in London. You will build production-grade systems behind GenAI workloads, shaping platform abstractions, and supporting self-service capabilities for product teams.

As a hands-on senior contributor, you will write production code, drive architectural decisions, and collaborate with Applied Science, Data, Product, Security and Engineering teams to deliver reliable, scalable GenAI capabilities.