Top Remote Software Engineer Jobs in Salt Lake City, UT

The Senior Software Engineer will design and develop AI-powered user interfaces, collaborating with teams on software and UX design, focusing primarily on frontend development alongside backend tasks.

Senior Front-End Vue Developer focused on building and maintaining Vue.js applications, collaborating with teams, optimizing performance, and mentoring others.

Design and maintain backend systems for stablecoin payments, lead projects, collaborate with teams, and mentor junior engineers in a fast-paced environment.

Lead technical initiatives for large-scale distributed systems, architect backend systems, mentor engineers, and elevate technical standards across the organization.

Lead engineering teams to build systems powering Coinbase's institutional products, collaborating with cross-functional teams and managing projects to enhance onboarding and activation journeys.

The Staff Software Engineer will architect and code backend services and ML models, integrate systems, ensure quality, and mentor engineers in the AI & Strategy Engineering team.

As an Infrastructure Software Engineer, you will build and optimize scalable systems for user data management while mentoring peers and collaborating on innovative solutions.

The Blockchain Engineer will develop and deploy smart contracts, build cross-chain features, optimize contracts, and conduct code reviews and audits.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Build the execution layer for AI focusing on relational intelligence in natural conversation. Tasks include affect analysis, memory systems integration, prompt engineering, and cloud infrastructure setup.

Design and build the frontend experience for a social AI platform, including website redesign and web app development while focusing on UI/UX principles and user engagement.

As a Senior Full Stack Engineer on the AI Tasks team at Zapier, you'll design and build user-friendly AI features, collaborate with cross-functional teams, and own projects from inception to deployment, with a focus on creating real-world applications of AI in automation.

Lead the design and implementation of backend services for data cataloging and ML training systems, focusing on performance and scalability.