TALENT Software Services
GenAI Engineer (RAG/LLM)
Location: Remote (West Coast U.S. Timezone overlap preferred)
Base Pay Range $55.00/hr - $60.00/hr
Key Responsibilities
Design, develop, and optimize Retrieval-Augmented Generation (RAG) 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.
Projects Include
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
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.
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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
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Base Pay Range $55.00/hr - $60.00/hr
Key Responsibilities
Design, develop, and optimize Retrieval-Augmented Generation (RAG) 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.
Projects Include
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
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.
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.
Seniority Level Mid‑Senior level
Employment Type Full‑time
Job Function Other
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