Platform Engineer – Agentic AI & Harness Engineering
Core
Build the internal agent harness (runtime, orchestration, guardrails) to turn foundation models into reliable, governed AI agents at scale for engineering, infrastructure, and operations teams.
Role type
Senior Platform Engineer (Agentic AI & Harness Engineering)
Builds
Internal agent harness, golden paths, reusable patterns, and oversight models for agentic productivity.
Domain
Cloud-native infrastructure, AI Agents, LLM Orchestration
Deliverable
production ML models
Required skills
Platform Engineering, DevOps, SRE, Python, Kubernetes, Containers, Infrastructure as Code, Cloud (AWS/Azure/GCP), MCP integration, Agent orchestration, Policy-as-code, Observability, Product thinking (SLOs, contracts)
Preferred skills
LangGraph, CrewAI, AutoGen, Model Context Protocol, LLMOps, AI-assisted development tools, Regulated environment experience
Technologies
Python, Kubernetes, AWS/Azure/GCP, MCP, LangGraph, CrewAI, AutoGen
Responsibilities
Design and build agent harness runtime and orchestration; Define oversight models with policy-as-code and human-in-the-loop; Integrate agents with CI/CD and cloud services; Make agentic productivity measurable via instrumentation; Mentor teams on harness adoption and enablement.
Seniority
Senior, hands-on IC
