> Markdown version of [/jobs/ext/4703412-senior-backend-engineer-node-js-typescript](https://www.wearedevelopers.com/jobs/ext/4703412-senior-backend-engineer-node-js-typescript). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Engineer (Node.js / Typescript) - **Company:** Talentco, LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $100,000 - $150,000 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Retrieval, Node.Js, Software Engineering, TypeScript, Large Language Models, Generative AI, Backend, Web Technologies - **Published:** November 13, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pyvvdyl1il ## About the Role This role requires strong software engineering skills, a deep understanding of backend development, and the ability to work in a fast-paced, AI-first environment. You'll collaborate with AI engineers, AI researchers, full-stack engineers and product teams to build enterprise-grade solutions that enable seamless AI-human interactions., * 6+ years of hands-on experience building production applications, having worked in high-bar engineering environments, particularly startups or scale-ups. * A backend focus, with proficiency in modern web technologies, namely Node.js and Typescript * Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures. * Understanding of AI-powered applications, including LLMs, chat interfaces, and agentic workflows. * Ability to work in a fast-paced, high-autonomy environment, solving complex problems and delivering impact. * Strong collaboration skills, with experience working in cross-functional teams with engineers, designers, and AI researchers. ## Description * Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation. * Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. * Ship robust, minimal-dependency code that performs efficiently in enterprise environments. * Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility.