Product Developer

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 clean, maintainable, and well‑tested code Contribute to product strategy, not just implementation Required Skills 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 Bonus Skills 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) How You Work Product‑minded: you think in terms of user outcomes, not just code Comfortable with ambiguity and rapid iteration Bias toward shipping and learning quickly Able to balance speed with scalability and maintainability Strong communicator across technical and non‑technical stakeholders Example Projects You Might Work On Building an AI‑powered search or recommendation system using RAG Creating internal tools that automate workflows using LLM agents We are dedicated to building a diverse, inclusive, and authentic workplace. If you’re excited about this role but can’t “check every box” in the job description, we encourage you to apply anyway. You may be the right candidate for this or other roles. Pay Scale: $75,000 - $100,000 Bonus: This position is eligible for a bonus under the current bonus plan requirements. Benefits: Full‑time: 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, 401(k) 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. Employer does not offer work visa sponsorship for this position. What’s in it for You? Extraordinary People – we’re not kidding! Meaningful Mission – Helping revolutionize an industry and deliver better experiences for fans and clients around the world. Development and Learning – Opportunities for learning and leveling up through training and education reimbursement. Community & Belonging – A range of Employee Resource Groups (ERGs) that foster connection, inclusion, and professional growth. Access to meaningful volunteer opportunities and community engagement programs to make a positive impact beyond the workplace. AEG’s policy is to hire the most qualified applicants, and we comply with all applicable federal, state and local employment laws in making hiring and employee decisions. We are an equal opportunity employer and do not discriminate against applicants or employees on the basis of race, color, marital status, disability, religion, age, sex, sexual orientation, national origin, genetic information, veteran status, or any other legally protected status recognized by applicable federal, state or local law. #J-18808-Ljbffr