Senior AI Harness Engineer
Core
Design and build foundational engineering frameworks, SDKs, and infrastructure to enable secure, reliable, and scalable AI models and agents at enterprise scale.
Role type
Senior IC AI Harness Engineer (Platform/Infrastructure)
Builds
Reusable AI orchestration frameworks, SDKs, evaluation infrastructure, and observability patterns for enterprise AI systems.
Domain
Enterprise AI / Large Language Models / Distributed Systems
Deliverable
production ML models
Required skills
Python, distributed systems, system design, agent architectures, context management, orchestration, enterprise security, identity management, API design, concurrency, testing
Preferred skills
LangGraph, LangChain, RAG, LLM frameworks
Technologies
Python, LangGraph, LangChain
Responsibilities
Define architecture and technical direction for reusable AI harness capabilities; Build reusable SDKs, libraries, and reference implementations; Lead design of interfaces connecting AI agents to enterprise data; Develop evaluation strategies for safety, reliability, latency, and costs; Establish instrumentation and observability standards; Conduct technical investigations to resolve systemic issues.
Seniority
Senior, hands-on IC
