AXS

Technology

ProductDeveloper

$95–135k ~AI est. Charlotte, North Carolina, United States
Market Sentiment
HIGH DEMAND

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

The Brief

“Product Developer at AXS”

Industry & Context.

Technology
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 Product Developer to join our carbonhouse team in Charlotte, NC. This role will be geared toward someone who can operate across the full stack while deeply integrating AI into product experiences. This role sits at the intersection of engineering, product thinking, and applied AI—ideal for someone who doesn’t just build features, but shapes intelligent systems that deliver real user value. You’ll work on designing, building, and scaling applications that leverage modern AI capabilities (LLMs, embeddings, automation pipelines) alongside traditional web architecture. What You’ll Do Design and build full-stack applications from concept to production (frontend, backend, APIs) Integrate AI capabilities into products (e.g., LLMs, vector search, AI workflows, agents) Collaborate with product and design to define features, UX, and system behavior Architect scalable backend systems and data flows (including API-first and event-driven patterns) Rapidly prototype and iterate on AI-driven features and products Evaluate and implement third-party AI tools, APIs, and infrastructure Optimize performance, reliability, and cost of AI systems Write

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