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# Senior Full-Stack Engineer (Next.js / AI)

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $140,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cursor, Programming Tools, PostgreSQL, Next.js, Search Technologies, TypeScript, Trunk-based Development, ReactJS, Large Language Models, Claude Code, Multi-Agent Systems, Generative AI, AI Coding Agents, Cloudflare, GPT, Serverless Computing
- **Published:** October 9, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pq00dn5dw0

## About the Role

* Minimum 4 years of experience shipping production React/Next.js and TypeScript applications.
 * Proven ability to own full-stack features from concept through deployment.
 * Experience with Postgres and serverless infrastructure platforms (e.g., Vercel, Cloudflare).
 * Practical experience building real applications with LLMs beyond basic ChatGPT usage.
 * Familiarity with AI coding tools such as Cursor, Claude Code, or OpenCode is a strong plus.
 * Experience building multi-agent systems, retrieval-augmented generation (RAG) pipelines, or LLM-powered features is desirable.
 * Technical understanding of embeddings, vector search, or agent architecture enhances candidacy.
 * Ability to deliver high-quality code rapidly without sacrificing standards.

## Description

The Senior Full-Stack Engineer (Next.js / AI) will build autonomous AI agents and multi-step large language model (LLM) workflows that automate complex tasks for numerous sales and marketing teams. This role involves end-to-end feature ownership-from designing in collaboration with product teams to deploying production-ready solutions-and delivering impactful features rapidly that directly benefit users., * Develop autonomous agents capable of multi-step reasoning using planning, tool use, and memory.

 * Build and maintain an operational platform including dashboards, workflow automation, and client management.
 * Create LLM-powered onboarding and personalization pipelines tailored to user business contexts.
 * Collaborate closely with the engineering team and product to design and ship features.
 * Utilize AI-first development tools and trunk-based development practices.
 * Deliver working prototypes quickly and iterate based on user feedback.