AI-Driven Full-Stack Product Engineer

carbonhouse, inc.; Charlotte, Northern (NC, KY); Hybrid; USD 75,000 - 100,000; Full time

Job summary

carbonhouse, inc. in Charlotte, NC is seeking a full‑stack engineer who blends applied AI into product experiences across the frontend and backend. The role is hybrid, onsite three days per week, with a salary range of $75,000–$100,000.

The candidate will design, build and scale applications that leverage AI capabilities—LLMs, embeddings, automation pipelines—alongside traditional web architecture. This position sits at the intersection of engineering, product thinking and applied AI, ideal for

Qualifications

• Experience building full‑stack web applications from concept to production.
• Proficiency with AI features and integration into products.
• Strong collaboration with product and design teams.

Responsibilities

• 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.

Skills

Full-stack

AI integration

APIs REST/GraphQL

Production apps

UI frameworks

Cloud platforms

Job description

carbonhouse, inc. in Charlotte, NC is seeking a full‑stack engineer who blends applied AI into product experiences across the frontend and backend. The role is hybrid, onsite three days per week, with a salary range of $75,000–$100,000.

The candidate will design, build and scale applications that leverage AI capabilities—LLMs, embeddings, automation pipelines—alongside traditional web architecture. This position sits at the intersection of engineering, product thinking and applied AI, ideal for