GenAI Engineer

KPI Partners, A global consulting firm focused on strategy, technology, and digital transformation. We help companies tackle their most ambitious projects and build new capabilities. We provide solutions in Cloud, Data, Application Development & BI spaces.

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This program gives engineers the opportunity to excel in product and software engineering by learning our industry-leading practices, tools, and technologies to build excellence by enhancing their competencies and skills

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Title: GenAI Engineer (RAG/LLM) 12 Months Contract

Location: 100% Remote PST Time Zone

Working Hours: 8 AM 5 PM PST

Travel Required: 1 week to Fremont, CA every 2 Months

Must Haves: Azure AI Search, Data Processing for RAG, Multmodal Data Integration

Nice to Have: Databricks, Python

KPI Partners is seeking a highly skilled and experienced GenAI Engineer with a strong background in Data Engineering and Software Development to join our team. The ideal candidate will focus on enhancing our information retrieval and generation capabilities, with specific experience in Azure AI Search, data processing for RAG, multimodal data integration, and familiarity with Databricks.

In this role, you will be responsible for developing a comprehensive framework that focuses on data ingestion processes (vector databases and text-to-SQL). This framework will ensure seamless integration and accessibility of data, which will be consumed by an LLM-based chatbot to optimize and enhance semiconductor manufacturing processes.

Key Responsibilities:

• Design, develop, and optimize Retrieval-Augmented Generation models to improve information retrieval and generation processes within our applications.
• Develop and maintain search solutions using Azure AI Search to ensure efficient and accurate information access
• Process and prepare data to support RAG workflows, ensuring data quality and relevance.
• Integrate and manage various data types (e.g., text, images) to enhance retrieval and generation capabilities.
• Work closely with cross-functional teams to integrate data into our existing retrieval eco-system, ensuring seamless functionality and performance.
• Ensure the scalability, reliability, and performance of data retrieval in production environments.
• Stay updated with the latest advancements in AI, ML, and data engineering to drive innovation and maintain a competitive edge.

Projects include:

• Azure AI Search Indexing: Implementing advanced search indexing solutions using Azure AI to enhance data accessibility and retrieval.
• LLM RAG Chatbot: Support development of chatbot using RAG to improve customer support and interaction.

What we re looking for:

• Bachelor s degree in Computer Science, Data Science, or a related field
• Master s degree in Data Science or a related field is preferred.
• 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
• Proven experience in data engineering and software development, with a focus 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.