Senior ML Platform Engineer (Agentic Platform)
Core
Build the infrastructure that takes agent prototypes to production, solving distributed-systems problems in long-running, non-deterministic workflows.
Role type
Senior IC ML Platform Engineer (Agentic Platform)
Builds
Durable agent runtime, secure tool layer, agent state/memory primitives, guardrails, and SDKs/templates for building AI agents.
Domain
Ed-Tech + Agentic AI / Distributed Systems
Deliverable
production ML models
Required skills
Python, distributed systems, GenAI/Agentic systems (tool/function calling), cloud infrastructure (AWS), observability/tracing, API/SDK design, security/authorization
Preferred skills
Agent frameworks (LangGraph, OpenAI Agents SDK, Temporal), agent evaluation/simulation, sandboxed execution environments, MCP Gateway
Technologies
Python, AWS, LangGraph, OpenAI Agents SDK, Temporal, MCP
Responsibilities
Build durable agent runtime with checkpoints and recovery; Create secure tool layer for discovery and invocation; Own agent state, context, and memory primitives; Design identity, permissions, and human controls; Develop guardrails for tool access and policy enforcement; Provide end-to-end observability and trace replay; Ship SDKs and paved-road patterns for teams.
Seniority
Senior, hands-on IC
