Top Natural Language Processing Software Engineer Jobs in New York City, NY

As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.

The Developer Experience Engineer will improve developer experience by modernizing tools, building AI-powered systems, and accelerating product delivery at Kustomer.

As a Partnerships Solutions Engineer, lead technical strategies, activate data partnerships, design AI workflows, and showcase integrated solutions to drive revenue and clarify ecosystem value for clients.

As a Senior Full-Stack Software Engineer, you'll build AI-driven web applications in TypeScript, manage technical decisions, collaborate on products, and mentor team members while ensuring high-quality user experiences.

As a Solutions Engineer, you'll assist customers with technical support, integrating the platform, and providing feedback to the product team. You'll engage directly with users to understand their needs, support them in real-time, and create technical documentation for new features.

As a Software Engineer at Superhuman, you will develop and enhance experimentation infrastructure for AI products, collaborate with teams to improve user quality, and support back-end and light front-end components while ensuring high-quality user experiences.

Develop and maintain the React Native mobile application, ensuring performance and reliability while collaborating with product and backend teams to deliver features.

The Web Developer will create and maintain responsive web pages using Webflow, collaborate with design and marketing teams, and ensure code quality and accessibility standards.

Lead the design and implementation of ML training systems, manage a team, promote engineering culture, and drive product development.

Lead the API Core team, managing hiring and performance, driving technical strategy for service efficiency and throughput improvements, and collaborating with infrastructure and product engineering teams.