Product Developer

AXS•Charlotte, NC

6h•$75,000 - $100,000•Hybrid

About The Position

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.

Requirements

Strong experience across the stack: Frontend: React, Next.js, Astro or similar modern frameworks
Backend: Node.js, PHP, Python or similar
APIs: REST and/or GraphQL
Experience building and shipping production applications
Familiarity with integrating AI APIs (e.g., OpenAI, Anthropic, etc.)
Understanding of: Prompt engineering
Embeddings and vector databases
Retrieval-augmented generation (RAG)
Experience with cloud platforms (AWS, GCP, or similar)
Solid grasp of data modeling and system design

Nice To Haves

Experience building AI-native products or features
Familiarity with vector databases (e.g., Pinecone, Weaviate, Upstash Vector)
Experience with edge computing or serverless platforms
Background in developer platforms or API-first products
Knowledge of ML fundamentals (fine-tuning, evaluation, model selection)
Experience with real-time systems or streaming data
Startup or small-team experience (wearing multiple hats)

Responsibilities

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 clean, maintainable, and well-tested code
Contribute to product strategy, not just implementation