Platform Engineer – Agentic AI & Harness Engineering
Core
Build the internal agent harness (runtime, orchestration, guardrails) to enable reliable, governed AI agents at scale for engineering, infrastructure, and operations teams.
Role type
Senior Platform Engineer (Agentic AI & Harness Engineering)
Builds
Production-ready agent harnesses, golden paths, reusable patterns, and oversight models for agentic workflows.
Domain
Cloud-native infrastructure, AI Agents, LLM Orchestration
Deliverable
production ML models | infrastructure
Required skills
Platform Engineering, DevOps, SRE, Python, Kubernetes, Containers, Infrastructure as Code, Cloud (AWS/Azure/GCP), MCP integration, Agent orchestration, Evaluation frameworks, Policy-as-code, Observability
Preferred skills
LangGraph, CrewAI, AutoGen, 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; Instrument agentic productivity metrics; Mentor teams on harness adoption.
Seniority
Senior, hands-on IC