Top Artificial Intelligence Software Engineer Jobs

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

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.

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.

As a Senior Software Engineer at Airwallex, you will architect systems for a multi-tenant infrastructure, design integrations for enterprise clients, and balance technical and business requirements while enhancing product features and solutions.

Lead the Brand Intelligence team, driving AI product integration, managing engineering practices, and fostering a high-performance culture while collaborating across teams.

Lead the development and deployment of software solutions for AI, ML, and data management within the US National Security Ecosystem, ensuring program execution and technical oversight.

The role involves building and shipping production-grade software, collaborating with product and design, and contributing to system architecture decisions for enterprise compensation teams.

Design and implement technical solutions for customer engagements, focusing on large-scale enterprise deployments while collaborating with various teams.