Top Artificial Intelligence Software Engineer Jobs

Design and implement responsive customer-facing UIs for the AI Data Cloud using TypeScript and React. Collaborate with designers, product, and backend teams to build reusable components, manage state, optimize performance and security, write well-tested maintainable code, and contribute to the shared design system.

As a Software Engineer at Snowflake, you will design and develop full-stack features for the Marketplace platform, collaborating with cross-functional teams and ensuring high performance and user satisfaction.

The Senior Data Product Engineer will design and develop data pipelines and analytics solutions, mentor teams, and drive innovation in data products.

Lead the development of an AI-powered AML platform, guiding a team in best practices, architecture, and delivering high-quality software solutions using Java and React.

The Staff Product Engineer will design and build core services for AI applications, lead implementation of distributed systems, and enhance observability metrics while collaborating with product and engineering teams.

Dust is seeking candidates passionate about AI to contribute to their mission of creating a transformative AI operating system, encouraging applicants to demonstrate enthusiasm and a team-oriented attitude regardless of specific job match.

The GTM Engineer will develop automated outbound prospecting systems, optimize pipeline generation, train Sales teams, and experiment with GTM workflows using various SaaS tools.

As a Senior Frontend Engineer, you will lead frontend architecture, collaborate across teams, ensure quality, and mentor contributing engineers while integrating AI features.

Design, develop, and maintain machine-control and microservice-based software in Java. Collaborate with systems and application teams to gather requirements, implement scalable microservices, troubleshoot and test software, and support cross-functional delivery in a fast-paced semiconductor environment.

Design, build, and scale advanced AI-driven agent systems integrating with enterprise data and services, focusing on scalable and secure workflows.

Design and develop generative AI applications using Python, build APIs, collaborate with teams, and ensure application performance and reliability.

The Solutions Architect will drive technical discovery, design generative AI solutions, develop proofs of concept, and guide enterprise-level architecture for Fortune 500 clients.

The AI System Architect will architect, design, develop, and troubleshoot AI systems, guiding less-experienced staff and influencing business strategy at HPE.

Responsible for implementing technical solutions for OSS Assurance products, including design, deployment, automation, and client engagement in telecom projects.

Design and develop Data Plane features for SDN, debug software issues, collaborate with teams, and optimize performance in cloud architectures.

Responsible for building and operating backend systems for AI features, focusing on inference pipelines and production reliability, while optimizing performance and integrating with frontend systems.