Top Artificial Intelligence Software Engineer Jobs

The Engineering Lead will guide a team in developing Generative AI-powered applications while ensuring Agile processes and software excellence. Responsibilities include architecture design, team mentorship, and collaboration with cross-functional teams.

Lead and develop a team of backend engineers, ensure high standards for core pricing systems, and guide technical strategy while collaborating across teams.

As a Full Stack Software Engineer, you will develop core products, contribute to architecture, engage with customers, and ensure reliable data synchronization for a platform focused on AI applications.

The Forward Deployed Software Engineer will work with clients to build and maintain applications that solve business problems, enhance workflows, and drive value quickly. The role emphasizes collaboration, independent problem-solving, and a focus on customer success.

The Senior Software Engineer will build core product systems, collaborate with the founder, and engage with users, shaping and shipping solutions that improve learning experiences.

The Director of Software Engineering will lead and scale product-delivery engineering teams, ensuring high-quality launches, effective strategy execution, and collaboration across departments while fostering a culture of ownership and excellence in a remote-first environment.

The Senior Software Engineer will lead the architectural integrity and development of scalable AI products, collaborating cross-functionally and providing mentorship to the team.

The Senior Integration Analyst will design, configure, test, and implement Epic integrations, collaborating with internal and external stakeholders for seamless data exchange and supporting clinical decision-making.

The Senior Growth Engineer will enhance product growth through experimentation, data analysis, and scalable systems, collaborating across teams to drive metrics like retention and engagement.

Lead and support the Data Foundations team to deliver and maintain high-quality data products and systems. Collaborate with leadership to define the technical vision and ensure reliable product infrastructure. Recruit and mentor team members while managing cross-functional projects.