GenAI Engineer

Capgemini; México; On-site; MXN 600,000 - 1,000,000; Full time

Job summary

A global IT consulting firm is seeking a GenAI Engineer to enhance data retrieval and generation capabilities. This full-time role focuses on developing frameworks for data ingestion and optimizing semiconductor manufacturing processes through advanced search solutions. Ideal candidates should have strong expertise in Data Engineering, Azure AI Search, and a collaborative spirit to work with cross-functional teams.

Qualifications

• Strong background in Data Engineering and Software Development.
• Experience with Azure AI Search and Databricks.
• Proficient in RAG and vector databases.
• Ability to integrate text and image data for retrieval and generation enhancements.

Responsibilities

• Design and optimize Retrieval-Augmented Generation models.
• Develop and maintain search solutions using Azure AI Search.
• Process data for RAG workflows, ensuring quality.
• Integrate multimodal data (text, images) to improve retrieval and generation.
• Collaborate with cross-functional teams to integrate data into the retrieval ecosystem.

Skills

Data Engineering

Software Development

Azure AI Search

Databricks

Retrieval-Augmented Generation (RAG)

Multimodal Data Integration

Cross-functional Collaboration

Multimodal data handling

Job description

Overview

Lam Research 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.

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.
• Azure AI Search Indexing: Implement 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.

Qualifications & Skills

• Strong background in Data Engineering and Software Development.
• Experience with Azure AI Search and Databricks.
• Experience with Retrieval-Augmented Generation (RAG) and vector databases; familiarity with text-to-SQL workflows.
• Ability to integrate and manage multimodal data (text, images) for retrieval and generation enhancements.
• Collaboration with cross-functional teams to ensure data integration and system performance.
• Ability to ensure scalability, reliability, and performance in production environments.

Diversity & Inclusion

At Capgemini Mexico, we aim to attract the best talent and are committed to creating a diverse and inclusive work environment, so there is no discrimination based on race, sex, sexual orientation, gender identity or expression, or any other characteristic of a person. All applications welcome and will be considered based on merit against the job and/or experience for the position.

Engagement & Employment Details

• Seniority level: Executive
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting