Agentic AI Systems Engineer
Core
Design and build platform foundations enabling autonomous, always-on AI agents to collaborate with engineers at scale for semiconductor and display manufacturing.
Role type
Senior IC Agentic AI Systems Engineer
Builds
Multi-agent runtime environments, Model Context Protocol (MCP) layers, and composable skill frameworks for developer tooling.
Domain
Semiconductor manufacturing / Developer platforms / Applied AI
Deliverable
production ML models | infrastructure
Required skills
System design for distributed services, AI/ML model integration, software architecture, semantic code search, swarm coordination, version control systems
Preferred skills
Experience with Java, Python, C++, MCP standards, agent orchestration
Technologies
Java, Python, C++, MCP, distributed systems
Responsibilities
Own and evolve the MCP platform unifying code and documentation; Define technical direction for agentic infrastructure; Establish architecture standards and trust models for agent-generated code; Mentor engineers in agentic development practices.
Seniority
Senior, hands-on IC
