Senior ML Platform Engineer (Agentic Platform)

The role

You will build infrastructure that takes agent prototypes to production. You will solve distributed-systems problems in long-running, non-deterministic workflows using tools, human decisions, and changing context.

What you will do

• Build a durable agent runtime with checkpoints, retries, timeouts, resumability, and deterministic recovery.
• Create a secure tool layer for discovery, registration, invocation and versioning.
• Own agent state, context and memory primitives.
• 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.
• Ship SDKs, templates, local tools, documentation and paved-road patterns.
• Evaluate frameworks, workflow engines, and tool protocols.
• Operate the platform with clear SLOs, capacity and cost controls, incident response, and operational standards.

Required qualifications

• 5+ years designing, building, and operating backend services or ML infrastructure handling production traffic.
• Strong Python skills.
• 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 in Agentic AI.
• 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.
• Hands-on experience with distributed tracing, system telemetry, SLOs, and incident triage.
• Strong communication skills.
• C1 English level.
• Willingness to join a paid on-call rotation.

Nice to have

• 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.
• Hands-on experience with MCP Gateway.
• Familiarity with GenAI observability and model gateways.

Benefits

• Open, collaborative, dynamic, and diverse culture.
• Generous monthly allowance for lessons on Preply.com.
• Learning & Development budget, including time off for your self-development.
• Competitive financial package with equity and leave allowance.

About the company

Preply is a category-defining company that helps people discover tutors and craft personalised learning journeys. They have reached unicorn status with a $150M Series D.