In this highly visible role, your primary responsibilities will include:- Developing LLM components for use in generative AI applications.- Enabling the organization to leverage data and drive efficiency in chip delivery.
Proficiency in Python programming
Hands-on-experience in NLP and Data Science principles (ie. Indexing knowledge, pre-processing data, or fine-tuning models).
Familiarity with current Gen AI research in one of the following areas: RAG, Semantic Search, Agents, or Prompt Engineering
Minimum requirement of BS and 3+ years of relevant industry experience
Experience in designing and implementing information retrieval systems using embeddings (e.g., MiniLM), vector stores (e.g., Milvus, Qdrant), or similarity match & ranking techniques.
Proficiency in articulating technical and architectural challenges in a precise manner.
Experience collaborating with partners to develop and iterate on solutions.