Architect and own the end-to-end extraction and ETL pipeline to transform unstructured web data into a high-accuracy B2B dataset. Define architectural standards for extractor frameworks, LLM infrastructure, and agentic workflows while ensuring cost-effective and reliable data processing.
You will own the design, build, and operation of backend services, RESTful APIs, and AI/LLM systems while leading two engineering pods. This role is 80% hands-on architecture and engineering, focusing on scaling systems and setting high technical standards for the team.
You will lead a team of Applied AI Engineers to architect and maintain systems for measuring, verifying, and enforcing data quality across billions of records. This involves building verification pipelines, LLM-based validators, and release gates to ensure high-quality data reaches customers.
