Top Remote Artificial Intelligence Software Engineer Jobs

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Design and build performance-critical components in C++. Require expertise in multithreaded systems, CI/CD pipelines, and GTK integration, as well as Python scripting.

The role involves owning the Android SDK and React Native bindings, managing design and development, solving performance issues, and enhancing CI/CD processes for real-time communications.

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.

As a Staff Frontend Engineer, you will lead frontend development, mentor engineers, optimize performance, and collaborate on user experience and architecture.

As a Software Engineer, you'll develop backend services for document verification, collaborate across teams, optimize performance, and integrate machine learning capabilities.

The Senior Data Platform Architect leads the design and architecture of Snowflake's Cloud Data Platform, collaborates with sales, and engages with customers to demonstrate value and support proof of concepts.

Lead the Salesforce engineering team to develop and maintain high-quality Salesforce solutions, ensuring platform stability and performance while collaborating with cross-functional teams.

The Azure Power BI Developer will design and develop dashboards and reports, apply data science methodologies, and collaborate with stakeholders to deliver actionable insights.

Develop biomechanics algorithms, manage large datasets, perform applied biomechanical analyses for coaches and medical staff, lead R&D to validate data quality and ROI, collaborate on visualization and API integration, and ensure production-quality testing.

Design, build, and maintain backend services and APIs (REST/GraphQL) using modern .NET. Build cloud-native, event-driven systems on AWS, integrate third-party APIs, own features end-to-end, and participate in code reviews, design discussions, and operational improvements to ensure reliability and scalability.