AI ML Engineer (IT Infrastructure & Operations)
Core
Build AI-powered solutions, autonomous agents, and automation workflows to optimize compute infrastructure and accelerate engineering productivity for semiconductor design workloads.
Role type
Senior IC AI/ML Engineer (Infrastructure & Operations)
Builds
Production AI applications, agentic workflows, RAG systems, and automation tools for EDA/HPC environments.
Domain
Semiconductor industry, High-Performance Computing (HPC), Infrastructure Automation
Deliverable
production ML models | product features | infrastructure
Required skills
Python development, Generative AI engineering, Agentic AI development, RAG implementation, Vector databases, Linux administration, Cloud infrastructure (AWS), API development, MLOps
Preferred skills
Multi-Agent systems, n8n workflow automation, AI coding assistants (Claude Code, GitHub Copilot), Project management
Technologies
Python, LangChain, LangGraph, n8n, AWS AgentCore, AWS Sagemaker, Azure ML Workspace, Linux, Git, CI/CD
Responsibilities
Design and deploy enterprise-grade AI applications; Build and maintain AI assistants, copilots, and autonomous agents; Develop agentic AI workflows for reasoning and remediation; Implement RAG solutions with vector databases; Integrate AI solutions with Linux servers, storage, and networking components; Develop backend services and APIs for AI applications; Implement monitoring, logging, and governance controls for production AI systems.
Seniority
Senior, hands-on IC
