Job Description

We are looking for an experienced AI Developer to build and deploy Generative AI applications for semiconductor engineering. The role focuses on LLMs, RAG, agentic AI workflows, and machine learning solutions supporting ASIC pre-silicon and post-silicon processes.

Key Responsibilities

• Design and develop GenAI applications and agentic workflows for code generation, documentation, failure analysis, and root cause analysis.
• Build and optimise LLM workflows using RAG, Graph-RAG, prompt engineering, and evaluation techniques.
• Develop ML/DL models for classification, anomaly detection, failure analysis, and engineering decision support.
• Use agentic coding tools such as Claude Code, Cursor, and Gemini CLI.
• Deploy, monitor,



and scale AI/ML solutions across cloud platforms.
• Collaborate with engineering teams to deliver scalable AI-driven solutions.

Required Skills

• Robust Python programming experience.
• Hands-on expertise in LLMs, Generative AI, RAG, and agentic AI.
• Experience with machine learning and deep learning.
• Knowledge of GCP, AWS, or Azure.
• Experience with Claude Code, Cursor, or Gemini CLI is preferred.
• Semiconductor engineering or ASIC pre-/post-silicon domain experience is highly relevant.

Skills: llms,rag,gen ai,python,aws,gcp,azure

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