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As a Senior AI Engineer, you'll design and implement AI-powered automation tools, maintain LLM-based systems, ensure data quality, and enhance business processes through AI solutions.

As a Senior AI Engineer, you will design and build AI-driven tools and pipelines to automate business processes, ensuring production reliability and integrating AI technologies into operations.

The Senior AI Engineer will design and build AI-powered automation tools, maintain LLM systems, and collaborate with business analysts to enhance processes across various operations.

The Senior Software Engineer will architect and build Metropolis Web Services, focusing on distributed systems and platform infrastructure, optimizing performance, and enabling seamless communication and reliability for various services.

Design, implement, and maintain backend services for the AeroParker pre-book and e-commerce platform. Drive full development lifecycle, ensure high availability and security of distributed systems, implement CI/CD and automated testing, lead technical discussions, integrate with global partners via APIs, and mentor engineers.

The role involves leading customer experience application development, shaping technical direction, coaching engineers, and ensuring operational excellence. The candidate will impact product development, focusing on enhancing user experiences and operational efficiencies.

The Workplace Experience Coordinator will manage daily office operations, enhance employee experience, oversee vendor relationships, and coordinate workplace events.

Own full sales cycle for a regional territory, generate net-new business, build stakeholder relationships, negotiate and close complex deals, manage pipeline and forecasting in CRM, collaborate cross-functionally on underwriting and financial modeling, and travel regionally to support clients.

Lead the Applied AI organization, architecting AI-first solutions, managing AI Engineers, redesigning processes, and driving transformation across finance and operations.

Analyze large, multi-source datasets, build and deploy machine learning models, design A/B tests and statistical analyses, create dashboards and visualizations, collaborate cross-functionally, and communicate data-driven insights to stakeholders.