Gen AI Engineer

Summary

Join our multinational team as a GenAI Engineer, enhancing our information retrieval and generation capabilities. You will design, develop, and optimize Retrieval-Augmented Generation (RAG) models, develop search solutions using Azure AI Search, and process data for RAG workflows. This role involves integrating various data types, working with cross-functional teams, and ensuring data scalability and reliability. You will contribute to projects like Azure AI Search Indexing and an LLM RAG Chatbot, optimizing semiconductor manufacturing processes. The position requires extensive experience in data engineering, AI/ML, and specific technologies. This is a 100% remote contract position located in Latin America.

Requirements

• Bachelor’s degree in computer science, Data Science, or a related field
• 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
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders
• Experience in developing and deploying scalable ML models in production environments
• Advanced written and spoken English fluency is a MUST HAVE (from B2 level to C1/C2)
• Experience in AI and ML solution implementation, particularly in semiconductor manufacturing (can be in any manufacturing industry)
• Building and deploying RAG pipelines or similar information retrieval systems
• Database systems ( SQL and NoSQL ) and data warehousing solutions
• Proficiency in Azure AI, Databricks, and other relevant tools and technologies
• Strong communication skills to effectively convey technical concepts to non-technical stakeholders
• Experience in developing and deploying scalable ML models in production environments
• Advanced written and spoken English fluency is a MUST HAVE (from B2 level to C1/C2)
• MUST BE located in Central or South america

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 ecosystem, 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: 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

Preferred Qualifications

Master’s degree in data science or a related field is preferred

Benefits

Opportunities for professional development and career growth