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Remote, popular Senior full-stack title and AI focus drive moderate applicant density.
Full-stack and LLM experience transfers across industries, so background sensitivity is low.
Multiple mandatory full-stack, AI, and infra skills increase filtering rigor.
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Own end-to-end development of AI-powered product experiences and backend systems using React, React Native, and Node.js.
Build and maintain AI workflows including tool-using agents, RAG/search, classification, human-in-the-loop processes, and business automation features.
Ensure system reliability with monitoring, performance optimization, scalable architecture, and collaborate closely with product and domain experts.
Proven experience building and shipping production full-stack systems with ownership responsibility.
Strong skills in React (or similar frontend frameworks) and Node.js backend development, preferably with TypeScript.
Hands-on experience with LLM-powered AI features, AI frameworks (e.g., Langchain), and AI architectures such as RAG and reranking.
Experience with modern databases (MongoDB, Postgres, or equivalent), infrastructure as code (terraform), cloud environments, and CI/CD.
Senior engineer comfortable working across full-stack including frontend (React/React Native) and backend (Node.js) in a small, autonomous team environment.
Experience integrating AI technologies deeply into product workflows, including chat UIs, human review loops, and prompt optimization.
Domain affinity or experience with automation workflows, AI tooling, and building business applications for service industries is advantageous but not mandatory.