Software Engineer

About this role

<p>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.</p> <p>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. &nbsp;</p> <p>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.</p> <p>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.</p> <p>&nbsp;</p> <h3>What You’ll Do</h3> <ul> <li>Design, build, and maintain scalable backend systems and APIs</li> <li>Integrate AI/ML capabilities into applications (LLMs, embeddings, classification, etc.)</li> <li>Develop and optimize data pipelines for AI workflows</li> <li>Implement retrieval-augmented generation (RAG) and context-aware systems</li> <li>Evaluate and integrate third-party AI tools and services</li> <li>Improve system performance, reliability, and cost efficiency</li> <li>Write clean, maintainable, and well-tested code</li> <li>Collaborate with cross-functional teams to ship AI-powered features</li> <li>Contribute to architecture decisions and technical direction</li> </ul> <h3>Required Skills</h3> <ul> <li>Strong programming experience in one or more languages (e.g., Python, JavaScript/TypeScript, PHP, Go)</li> <li>Experience building and maintaining backend systems and APIs</li> <li>Familiarity with cloud platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure</li> <li>Experience working with databases (SQL and/or NoSQL)</li> <li>Understanding of software design principles and system architecture</li> <li>Familiarity with integrating AI APIs such as OpenAI or Anthropic</li> <li>Basic understanding of: <ul> <li>Prompt engineering</li> <li>Embeddings and vector search</li> <li>Model limitations and evaluation</li> </ul> </li> </ul> <h3>Bonus Skills</h3> <ul> <li>Experience building AI-powered applications in production</li> <li>Familiarity with vector databases (e.g., Pinecone, Weaviate)</li> <li>Experience with frameworks such as LangChain or LlamaIndex</li> <li>Knowledge of machine learning fundamentals (training, fine-tuning, evaluation)</li> <li>Experience with containerization (Docker) and orchestration (Kubernetes)</li> <li>Exposure to event-driven or streaming architectures</li> <li>Frontend experience (React, Next.js) is a plus but not required</li> </ul> <p>⠀</p> <h3>How You Work</h3> <ul> <li>Strong problem-solver with attention to detail</li> <li>Curious about emerging AI technologies and eager to experiment</li> <li>Comfortable working in evolving, fast-paced environments</li> <li>Focused on building reliable, production-ready systems</li> <li>Communicates clearly with both technical and non-technical teammates</li> </ul> <h3>Example Projects</h3> <ul> <li>Building APIs that power AI-driven features (chat, summarization, recommendations)</li> <li>Implementing a RAG pipeline for internal or customer-facing search</li> <li>Creating services that orchestrate LLM workflows or agents</li> <li>Optimizing latency and cost of AI inference in production</li> <li>Developing tools to evaluate and monitor model performance</li> </ul> <p>&nbsp;</p> <p><em><span class="TextRun SCXW129143701 BCX0" lang="EN-US" data-contrast="auto"><span class="NormalTextRun SCXW129143701 BCX0">At AXS, we are dedicated to building a diverse,&nbsp;</span><span class="NormalTextRun SCXW129143701 BCX0">inclusive</span><span class="NormalTextRun SCXW129143701 BCX0">&nbsp;and authentic workplace, so if&nbsp;</span><span class="NormalTextRun SCXW129143701 BCX0">you’re</span><span class="NormalTextRun SCXW129143701 BCX0">&nbsp;excited about this role but&nbsp;</span><span class="NormalTextRun SCXW129143701 BCX0">can't</span><span class="NormalTextRun SCXW129143701 BCX0">&nbsp;"check every box</span><span class="NormalTextRun SCXW129143701 BCX0">"&nbsp;in</span><span class="NormalTextRun SCXW129143701 BCX0">&nbsp;the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles.</span></span><span class="EOP SCXW129143701 BCX0" data-ccp-props="{"134233117":false,"134233118":false,"201341983":0,"335559738":0,"335559739":200,"335559740":276}">&nbsp;</span></em></p> <p>&nbsp;</p> <p><strong>Pay Scale: $92,000-$115,000</strong></p> <p><strong>Bonus:&nbsp; </strong>This position is eligible for a bonus under the current bonus plan requirements.</p> <p><strong>Benefits: Full-time: </strong>We offer a comprehensive benefits package that includes: medical, dental and vision insurance, paid holidays, vacation and sick time, company paid basic life insurance, voluntary life insurance, parental leave, 401k Plan (with a current employer match of 3%), flexible spending and health savings account options, and wellness offerings. Currently, full time employees are eligible for these benefits on the first day of employment.</p> <p>&nbsp;</p> <p><strong><span data-olk-copy-source="MessageBody">*Employer does not offer work visa sponsorship for t