AI/ML Engineer: System RF Data Ecosystem
Core
Architecting and deploying scalable AI solutions, specifically multi-agent systems and LLM integrations, to automate engineering tasks and optimize hardware design workflows.
Role type
Senior IC AI/ML Engineer (Generative AI & Multi-Agent Systems)
Builds
Intelligent software tools and internal services for hardware engineering teams
Domain
Consumer Electronics / Hardware Engineering / Generative AI
Deliverable
production ML models
Required skills
Multi-agent system design, LLM integration (APIs & on-premise), RAG pipeline architecture, Agent Communication Protocols (MCP, A2A), Python (Core & Async), FastAPI/Flask, Cross-functional technical leadership
Preferred skills
Enterprise-grade production deployment lifecycle management, Gen AI evaluation systems, Intelligent routing and fallback strategies, High-dimensional data analysis
Technologies
Python, FastAPI, Flask, Anthropic Claude, Mistral, Gemini, MCP, A2A
Responsibilities
Integrate LLMs via cloud APIs and on-premise deployments; Develop mechanisms for agents to invoke APIs and query databases; Architect RAG pipelines and oversee LLM fine-tuning; Lead development of multi-agent architectures; Oversee transition of AI solutions to production-scale services
Seniority
Senior, hands-on IC
