Top Artificial Intelligence Software Engineer Jobs

Lead design and hands-on development of low-latency, real-time trading and market-data platforms for public markets. Architect event-driven, API-first systems, embed CI/CD, observability, and responsible AI practices, collaborate with product and enterprise teams, and mentor engineers to deliver resilient, cloud-native solutions.

As Reinsurance Technology Director, lead finance modernization, optimize legacy systems, manage cross-functional teams, and ensure compliance while promoting agile delivery and managing resources effectively.

The Reinsurance Technology Director will lead modernizing finance processes, support team management, optimize resources, and ensure compliance while advocating agile leadership.

The role involves designing and developing systems for GeniusIQ products, implementing features across the stack, and collaborating with AI/Machine Learning teams for real-time data processing and analytics.

As a Staff Mobile Engineer, you will design scalable mobile infrastructure for high-availability applications, optimize performance, and lead technical initiatives to enhance developer productivity.

The Staff Data Engineer will manage the end-to-end data lifecycle, develop data pipelines, ensure compliance, and mentor team members in a hybrid role focused on early cancer detection.

The Staff Software Engineer will design and develop operational code for satellite ground systems, troubleshoot issues, and support Agile Scrum projects.

The Software Engineer - Cloud will design and improve cloud infrastructure and data pipelines, develop AI and tooling solutions to enhance recycling operations using machine learning.

The Principal Software Engineer will develop scalable distributed systems, optimize data pipelines, enhance system performance, and mentor engineers in a data-intensive environment.

This role involves designing scalable data ingestion systems and building a centralized data lake on Apache Iceberg. Responsibilities include improving performance and reliability, collaborating with data engineers, and providing technical leadership.

The Full-Stack Engineer will build and maintain applications, own features end-to-end, contribute to system design, and collaborate closely with product and design teams while improving system reliability and performance.

The Backend Engineer will design and maintain backend systems, contribute to system reliability and performance, and collaborate cross-functionally while taking ownership of projects.

Lead the Behavioral team to develop systems that translate customer activity into marketing triggers. Drive technical initiatives, manage a team, and ensure operational excellence in scalable backend services.