Top Artificial Intelligence Software Engineer Jobs

The VP of Engineering will scale the engineering organization, architect systems for growth, lead AI-driven innovations, and align engineering with business priorities.

Design and develop scalable software services for an eCommerce platform, integrating financial systems and enhancing customer transactions, while collaborating with cross-functional teams.

Seeking a Fullstack Engineer with strong development skills to build and manage large-scale infrastructure, micro-services, and collaborate on technical decisions.

Migrate and optimize data workloads, develop ETL/ELT pipelines, build datasets for analytics, and support BI tools while ensuring data quality and collaborating with teams.

The Web Data Extraction Engineer will design and implement data extraction solutions, utilizing programming languages and web technologies to monitor multiple external systems and retrieve public data.

The Senior Software Engineer will design and develop AI-driven applications, collaborate with teams, maintain high code standards, and ensure software reliability.

Forward Deployed Engineers work with customers to design and implement data integration solutions using Rilla's conversation intelligence software, engaging directly with executives and managing high-stakes projects.

As a Core Protocol Engineer, you will extend the EVM, implement precompiles, optimize transaction processing, and contribute to core protocol developments and research.

Design, develop, and maintain full-stack software for manufacturing and enterprise systems. Build backend services using C#/.NET Core Web API, optimize SQL Server databases, and contribute to Next.js/React frontends. Troubleshoot production issues, participate in code reviews, and document architectures. Collaborate with cross-functional teams and recommend third-party tools.

Lead and grow a software engineering team, drive technical excellence across product and platform, oversee core platform operations (storage, billing, observability, security, APIs), improve developer experience, and bridge AI research into production for video, audio, image, and text modalities while partnering with product, design, and research.