Top Natural Language Processing Software Engineer Jobs in San Francisco, CA

As a Full-Stack Engineer at Superhuman, you will develop core product features, infrastructure, and collaborate with teams to enhance user experience, focusing on both front-end and back-end services.

As a Front-End Software Engineer, you will build AI-powered interfaces, tackle complex design problems, and collaborate across teams to enhance user experiences. Responsibilities include mentoring, implementing responsive UI, and engaging with AI technologies.

The Back-End Engineer will design and build core platform services, operate production services, and work on AI-powered features while collaborating with cross-functional teams and mentoring junior engineers.

Design, develop, and maintain scalable backend systems for automated order-taking platforms, collaborating with teams to integrate AI models and optimize performance across noisy environments.

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 Integrations Engineer will design and implement data pipelines, manage real-time integrations, debug system issues, and ensure operational reliability across enterprise data systems.

The Senior Data Engineer will manage data pipelines, design data infrastructure, implement ETL processes, and ensure high data quality across teams.

As a Staff Software Engineer at Anthropic, you will architect and operate database systems, scale infrastructures to support millions of users, and manage data solutions for both product and research initiatives.

As a Solutions Architect, you will design and optimize customer solutions for deploying LiteLLM, collaborating with customers and engineering teams to ensure successful implementations.

Optimize and scale search applications, implement performance monitoring, develop benchmarking frameworks, and ensure high availability of search services.

Lead design and implementation of AI-assisted underwriting front-end UX, own cross-platform frontend and design system, establish frontend patterns and standards, mentor and recruit engineers, rapidly ship and iterate features, and collaborate with design, product, and backend teams to create explainable, auditable human-in-the-loop workflows.

The role involves designing, building, and maintaining core product features while collaborating with cross-functional teams to develop scalable systems and improve performance. Ownership of features from concept to production, mentoring junior engineers, and maintaining coding standards are key responsibilities.