Path is seeking an AI Engineer to lead the development of cutting-edge AI-driven solutions for test preparation. The ideal candidate will have experience working with image generative models such as Imagen 3 and DALL·E, along with a strong background in building agentic workflows using state-of-the-art models. Expertise in document processing, including OCR, is essential to streamline exam generation and automation. This role requires a deep understanding of AI model integration, workflow automation, and the ability to innovate in a fast-paced environment.
Assist in extracting exam questions and metadata from PDFs using existing Jupyter notebooks.
Ensure smooth integration with MongoDB, including proficiency with MongoDB queries and understanding of document structures.
Structure and insert data into MongoDB collections in alignment with our predefined data models.
Link test preparation data across multiple collections, including testPrep, groupings, and scorings.
Ingest and regularly update the testPrep collection with new resource materials.
Refactor and optimize existing API endpoints to enhance efficiency and accuracy in exam generation.
Conduct routine database maintenance to maintain consistency between development and production environments.