Principal AI Flow Development Engineer
Core
Architecting multi-agent systems, RAG pipelines, and AI copilots to automate IP R&D workflows and integrate AI services with EDA tools.
Role type
Principal AI Flow Development Engineer
Builds
Multi-agent systems, AI copilots, retrieval pipelines, and integration layers for semiconductor IP development.
Domain
Semiconductor / Electronic Design Automation (EDA)
Deliverable
production ML models | product features
Required skills
GenAI, RAG, agentic AI systems, Python, ETL pipelines, observability, cloud deployment, prompt engineering, API development, evaluation frameworks
Preferred skills
Agentic frameworks (LangChain, LlamaIndex, CrewAI), MCP and A2A integration patterns, EDA tool integration
Technologies
Python, EDA tools, cloud platforms
Responsibilities
Architect multi-agent systems and agentic workflows for IP R&D automation; Design retrieval pipelines for semiconductor IP documentation; Implement MCP servers/clients for secure context sharing; Establish evaluation frameworks for retrieval metrics and agent task success; Partner with IP designers and verification engineers to capture domain expertise.
Seniority
Principal, hands-on IC
