Product Developer
Full-stack engineer who integrates applied AI (LLMs, RAG, automation) into product experiences across frontend and backend.
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.
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
Bonus points.
- 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.
Ready to apply?
Applications for this role are processed through AXS, our parent company. You'll complete your application on their careers portal.