AI Full Stack Developer

Role: AI Full Stack Developer Location: Middletown, NJ (onsite) Position: Contract

: 8+ years In-person interview for the final round • Texas (Plano, Dallas, or Austin) • New Jersey (Bedminster or Middletown) • Georgia (Atlanta)

We are looking for an AI Full Stack Developer to design, build, and deploy intelligent web applications powered by large language models and AI SDKs. You will own features end to end from the user interface and backend services to the LLM-based capabilities that drive them and ship them into production. Note on tech stack: Internally, the applications are built on a MERN stack (MongoDB, Express.js, React, Node.js). Direct experience with this stack to build web based application is a plus, but we're primarily hiring for strong full-stack and AI-building ability the right candidate can ramp on our specific stack quickly. Notes from HM: • Direct experience with the MERN stack (MongoDB, Express.js, React, Node.js). This is a MUST HAVE • Experience building AI agents or multi-step LLM workflows. • Proven experience building production web applications end to end. • Experience building features on top of large language models and AI SDKs prompt engineering, retrieval, and function/tool use.

: • Design, build, and maintain full-stack web applications with AI-powered features. • Build and integrate LLM-based features chat, copilots, summarization, extraction, and retrieval-augmented generation into products. • Do prompt engineering, tool/function calling, and agent workflows on top of AI SDKs. • Design evaluation and guardrail patterns for AI features (quality, safety, cost, latency). • Develop scalable, secure backend services and APIs that wrap AI capabilities. • Create responsive, reusable, maintainable user interfaces for AI features. • Integrate AI SDKs, embedding models, and vector retrieval with internal services. • Deploy applications and AI services to cloud environments. • Set up CI/CD and monitor production AI features for latency, cost, and quality drift. • Troubleshoot issues across the full stack. • Work with product, design, and engineering teams in an Agile environment. • Apply security best practices across applications and AI integrations.