Product Developer

Full-stack engineer who integrates applied AI (LLMs, RAG, automation) into product experiences across frontend and backend. Charlotte, NC (hybrid — onsite 3 days/week) $75,000 – $100,000 carbonhouse is looking for a Product Developer 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 design, build and scale applications that leverage modern AI capabilities — LLMs, embeddings, automation pipelines — alongside traditional web architecture. The role What you'll do. Design and build full-stack applications from concept to production (frontend, backend, APIs) Integrate AI capabilities into products — 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, well-tested code — and contribute to product strategy, not just implementation What you'll bring. Strong experience across the stack — frontend (React, Next.js, Astro or similar), backend (Node.js, PHP, Python or similar), REST and/or GraphQL APIs Experience building and shipping production applications Familiarity with integrating AI APIs (OpenAI, Anthropic, etc.) Understanding of prompt engineering, embeddings, vector databases and retrieval-augmented generation (RAG) Experience with cloud platforms (AWS, GCP or similar) Solid grasp of data modeling and system design Nice to have Experience building AI-native products or features Familiarity with vector databases (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 Hybrid role — onsite three days per week at our Charlotte, NC office. Work visa sponsorship is not offered for this position. carbonhouse is an equal opportunity employer. #J-18808-Ljbffr carbonhouse, inc.