AXS

Entertainment

SoftwareEngineer

$105–145k ~AI est. Charlotte, North Carolina, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Software Engineer at AXS”

Industry & Context.

Entertainment
Full Job Description

AXS connects fans with the artists and teams they love. Each year we sell millions of tickets to thousands of incredible events – from concerts and festivals to sports and theater – at some of the most iconic venues in the world. Since our founding in 2011, we’ve consistently pushed the industry forward and improved experiences for fans, making it easier than ever to discover events, find the perfect seats, and enjoy unforgettable live entertainment, and we continue to lead the evolution of our industry today. We’re passionate about improving the fan experience and providing game-changing solutions for our clients, and we’re always looking for smart, motivated people to help make it happen. Bring your enthusiasm, your big ideas, and your desire to team up with some of the best and brightest in technology and entertainment. AXS is seeking a Software Engineer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone with a strong interest in applied AI to help build intelligent, scalable systems. This role focuses on integrating AI capabilities into production software—bridging traditional engineering with modern machine learning and large language model (LLM) workflows. You’ll work on backend services, APIs, and data pipelines that power AI-driven features, while collaborating closely with product and design to bring those capabilities to life. What You’ll Do Design, build, and maintain scalable backend systems and APIs Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.) Develop and optimize data pipelines for AI workflows Implement retrieval-augmented generation (RAG) and context-aware systems Evaluate and integrate third-party AI tools and services Improve system performance, reliability, and cost efficiency Write clean, maintainable, and well-tested code Collaborate with cross-functional teams to ship AI-powered features Contribute to architecture decisions and technical direction ⠀ Required Skills S

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