As a Data Chunking and Embedding Engineer, you'll play a key role in developing AI solutions that enhance data retrieval and processing. This position is ideal for those who enjoy working with data and collaborating across teams to create efficient systems.
Anicalls is seeking a Data Chunking and Embedding Engineer to enhance their enterprise AI applications. In this role, you will design and implement strategies for data chunking and embedding, ensuring that the systems are optimized for performance and scalability. You will work closely with business, data, and engineering teams to create solutions that support Retrieval-Augmented Generation (RAG) and semantic search functionalities.
Your day-to-day responsibilities will include developing intelligent document parsing and preprocessing pipelines for both structured and unstructured data. You will also collaborate with stakeholders to define the requirements for data ingestion and retrieval, ensuring that the solutions meet the needs of the business. Optimizing data processing pipelines for cost efficiency and performance will be a key focus of your work.
This role is suited for individuals who have a strong background in data engineering and are passionate about AI technologies. You should be comfortable working in a collaborative environment and have a keen interest in developing scalable solutions. Key requirements include experience with data chunking, embedding strategies, and document parsing, along with a solid understanding of data ingestion processes.
If you are looking to make an impact in the AI space and enjoy working with data, this position could be a great fit for you. Join Anicalls and contribute to innovative projects that drive the future of enterprise AI.
You'll be taken to the original listing on PNet to apply.