GenAI Engineer (LLM/RAG) (San Francisco)

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Please go through the job description below and if you are interested, share an updated Word copy of your resume and the best time to reach you by phone.

Position:

GenAI Engineer (LLM/RAG)

Locations:

San Francisco, CA

Duration:

Contract

Job Description:

Requirements:

• Approximately 8 years of experience in Data Science, MLOps, and Data Engineering
• Proven experience in AI and ML solution implementation, particularly in semiconductor manufacturing
• Proficiency in Python
• Experience in data engineering and software development, focusing on building and deploying RAG pipelines or similar information retrieval systems
• Familiarity with processing multimodal data (e.g., text, images) for retrieval and generation tasks
• Strong understanding of database systems (SQL and NoSQL) and data warehousing solutions
• Proficiency in Azure AI, Databricks, and other relevant tools and technologies
• Excellent problem-solving skills and ability to work independently and in teams
• Strong communication skills to convey technical concepts to non-technical stakeholders
• Experience in deploying scalable ML models in production
• Bachelors degree in Computer Science, Data Science, or a related field
• Masters degree in Data Science or related field preferred

Key Responsibilities:

• Design, develop, and optimize Retrieval-Augmented Generation models for improved information retrieval and generation
• Develop and maintain search solutions using Azure AI Search for efficient data access
• Process and prepare data supporting RAG workflows, ensuring data quality and relevance
• Integrate and manage various data types to enhance retrieval and generation capabilities
• Collaborate with cross-functional teams to integrate data into existing retrieval systems
• Ensure scalability, reliability, and performance of data retrieval in production
• Stay updated with AI, ML, and data engineering advancements to drive innovation

Projects include:

• Azure AI Search Indexing: Implementing advanced search indexing solutions using Azure AI
• LLM RAG Chatbot: Supporting development of a chatbot using RAG to improve customer support