Preply

Preply is hiring a Senior ML Platform Engineer to build the durable runtime, tooling, safety controls, and developer experience that take agentic AI systems from prototypes to production. The role combines hands-on backend and ML infrastructure engineering with broad influence over platform architecture and operational standards.

Build the shared platform infrastructure that enables Preply’s product teams to develop, evaluate, deploy, and operate generative AI safely at scale. This hands-on senior role focuses on AI gateways, model lifecycle capabilities, observability, evaluation, guardrails, and operational efficiency.

Build the shared runtime and infrastructure that brings Preply’s stateful, action-taking AI agents from prototypes into reliable production systems. This hands-on senior role combines backend engineering, distributed systems, agent orchestration, security controls, and developer tooling.

Preply is hiring a Senior ML Platform Engineer to build and operate the shared GenAI infrastructure powering safe, scalable AI products. The role focuses on model gateways, evaluation, observability, cost controls, prompt lifecycle management, and platform guardrails.

Build the internal developer platform that helps Preply engineers develop, test, and deploy software efficiently at global scale. This senior role combines backend engineering, developer productivity, CI/CD, tooling, and AI-native development.

Build the developer platform that enables Preply engineers to develop, test, and ship software effectively at global scale. This senior role combines backend engineering, developer tooling, CI/CD, and AI-native development workflows.

Preply is seeking a Senior Machine Learning Platform/Ops Engineer to productionize reliable, observable, and scalable ML systems from training through deployment. The role combines ML platform engineering, data pipelines, cloud infrastructure, and emerging LLM capabilities.

Senior Full-stack Engineer who will build and evolve Preply’s CRM communications platform, including backend services, frontend experiences, automation, and AI-assisted workflows. The role combines hands-on software development with technical leadership, architecture, experimentation, and engineering excellence.