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Embed with healthcare customers to understand workflows, design and deploy AI-powered solutions, build production systems and integrations, and own deployments from scoping through iteration. Translate ambiguous business requirements into reliable technical architectures, collaborate with Product and Engineering, monitor systems, and identify deployment patterns that inform scalable product and platform improvements.

Coordinate high-volume interviews and provide a smooth, timely candidate experience. Manage calendars, travel, onsite logistics, candidate and requisition data in Ashby, interviewer pools, recruiting events, and communication with recruiters, hiring managers, executives, and interviewers. Identify workflow inefficiencies, implement process improvements, and handle confidential information with discretion in a fast-growing, in-office startup environment.

Own the Intelligence and Applied AI product area for an AI automation platform. Define benchmarks, evaluation frameworks, and production quality standards; guide model experimentation and determine which capabilities ship. Partner with engineering on platform development, observability, and monitoring, establish operating processes, and enable sales and customer success to communicate AI capabilities accurately.

Owns support and maintenance for customer production workflows after active development. Responsibilities include triaging and resolving technical escalations, making small code fixes and improvements, developing deep knowledge of complex customer environments, identifying recurring issues with engineering and product teams, and communicating issue status and resolutions to customers.

Own the Intelligence and Applied AI product surface, defining 0-to-1 platform capabilities and leading products from discovery through launch and scaling. Develop roadmaps, product specifications, metrics, and processes; partner with engineering, design, sales, and customer success; manage ambiguity; and ensure AI automation products deliver measurable customer value.

Lead development of Luminai’s core platform, including shared frameworks, developer tooling, CI/CD, test infrastructure, observability, reliability, and IDE improvements. Architect high-performance backend systems, remove engineering bottlenecks, and establish secure defaults for authentication, authorization, and secrets management. Drive foundational technical initiatives and improve developer experience across the engineering organization.

Design, build, and maintain Luminai’s core platform infrastructure, backend services, shared libraries, internal APIs, and deployment systems. Lead projects that improve scalability, reliability, developer workflows, CI/CD, testing, and local development. Strengthen production systems through secure authentication, access controls, secrets management, code review, testing, and maintainable engineering practices.

The Enterprise Partnerships Lead will manage the sales process to health systems, engaging C-suite leaders, and expanding partnerships while driving AI adoption.

The Staff Software Engineer will design and implement core platform development, improve system foundations, and lead technical initiatives to enhance AI automation deployment across organizations.

As an Applied AI Engineer at Luminai, you will design experiments, optimize machine learning models, and enhance AI platforms for healthcare automation.