Agentic AI Engineer
On-site · Cary, North Carolina, United States
Job Summary
Agentic AI Engineer role at Cadence focusing on building agentic systems for silicon design. Responsibilities include training and evaluating LLMs/SLMs and embedding models; designing retrieval pipelines, prompt scaffolds, and tool-calling specs for design context; tuning knowledge graphs and vector stores; building agent tools, memory, and governance; curating datasets from EDA artifacts; and collaborating with senior engineers. Must-have qualifications emphasize formal CS/EE/AI education with hands-on ML experience, Python proficiency, and interest in silicon/EDA domains. Location: Cary, US; on-site; full-time. Cadence highlights equal opportunity employment and a strong emphasis on impactful, ship-ready results.
Required Qualifications
- BS / MS / PhD in CS, EE, ECE, AI/ML, or closely related field (graduating 2025-2026; recent grads welcome)
- Strong fundamentals in deep learning, transformers, and modern LLM mechanics
- Practical hands-on experience with at least TWO of: LLM fine-tuning, RAG / retrieval, agentic frameworks, knowledge graphs, vector databases
- Solid Python engineering: PyTorch and Hugging Face
- Curiosity about silicon / chip design and willingness to learn a deep technical domain
- Strong written and verbal communication
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