Seeking a hands-on and technically strong AI Product Engineer to guide the design and delivery of intelligent solutions across our unified care coordination, claims management, and patient engagement platforms. This role combines software engineering expertise in AI/ML system design, full-stack development, and a practical focus on data-driven insights that improve patient management and operational efficiency.
Job listings
4w PTO
Collaborate with a team of developers on various web projects. Communicate with DevOps and product teams. Ideal candidate will focus on building the largest health tech company in the world.
$171,000–$209,000
USD/year
As a Senior Software Engineer on the Service Engineering team, you will be a key driver of operational efficiency and technical foundation by designing, implementing, and maintaining internal tooling, automation frameworks, and technical solutions. This role turns complexity into clarity, architecting abstractions and connection frameworks to ensure scalability and reliability across systems. You will collaborate with business leaders and product teams to support core feature development and handle business needs.
Seeking a Senior Backend Developer with experience building scalable backend systems and APIs. You will design, develop, and maintain our core backend services, with a focus on performance, reliability, and scalability. Responsibilities include designing and optimizing RESTful APIs and integrating with external/internal systems.
$99,000–$131,775
USD/year
As a Senior Software Engineer at Netlify, you'll join a collaborative team that values continuous learning. You will contribute to a welcoming and inclusive engineering culture, help design user experiences that serve millions of developers, and work closely with Product, Design, and cross-functional teammates to build, iterate, and scale meaningful solutions. You'll have the autonomy to drive projects forward.
$180,500–$241,500
USD/year
We are seeking an experienced Staff full stack engineer with a strong ability to execute hands-on technical work. The AI Lifecycle Team provides the UX backbone and visualization products that Machine Learning Engineers use to shepherd their ideas from data collection to model deployment in the AV. As a Staff Full Stack Engineer, you will collaborate closely with machine learning engineers, research scientists, and other partners to develop state-of-the-art AI solutions.