Top Artificial Intelligence Software Engineer Jobs in CO

As a Senior Software Engineer in Growth, you'll drive revenue through technology, collaborating with cross-functional teams to build solutions and products that enhance customer growth and operational efficiency. You'll utilize your skills in full stack development, leveraging data for impactful decisions while mentoring junior engineers.

The Senior Software Engineer will develop scalable backend applications, enhance DevOps practices, drive architectural solutions, and improve system infrastructure in a collaborative environment.

The role involves designing and developing microservices using .NET and ReactJS, deploying applications on Azure, and utilizing AI coding assistants for software development.

The Staff Software Engineer will lead the design of scalable data models and APIs, mentor engineers, and improve development practices while collaborating across products and teams in a remote capacity.

The Revenue Systems role involves owning Salesforce architecture, leading projects for data management, automation, and collaborating on AI-driven initiatives to support revenue processes.

As a Software Engineer at iManage, you will design, build, and deliver solutions while collaborating within cross-functional teams, especially with Japanese and English speaking customers.

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.

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.

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