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

carbon house 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.

• 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

• 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

• 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.

carbon house is an equal opportunity employer.