The Data Support Engineer will monitor and maintain data pipelines, ensuring timely resolution of issues within defined SLAs. They will also collaborate with engineering teams and provide status updates while contributing to process improvements.
The role involves managing and expanding commercial data products by sourcing, cleaning, and analyzing datasets to support investment research. You will also build AI-driven automation tools and maintain dashboards to provide actionable insights to stakeholders.
The Senior AI Test Engineer will be responsible for designing and executing comprehensive test strategies for AI-driven systems. They will ensure the reliability, accuracy, and performance of AI models through rigorous testing protocols.
Design, develop, and maintain full-stack web applications while managing the entire lifecycle from database schema to frontend UX. Collaborate directly with client stakeholders to translate requirements into technical solutions and provide ongoing post-launch support.
Design and build autonomous AI agents capable of tool use, memory, and complex multi-step task execution. Develop scalable backend services and observability frameworks to ensure reliability, performance, and quality of AI systems.
Design, implement, and maintain web scrapers to collect alternative datasets while performing data cleaning and transformation. Collaborate with cross-functional teams to build efficient data processing workflows and maintain alerting systems for data integrity.
