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Eloquent AIEloquent AI

AI Engineer

Build full-stack AI applications that power enterprise workflows, including agent interfaces, real-time backend services, and integrations with LLMs and retrieval-augmented generation. The role requires 2–5 years of production experience with React, TypeScript, Node.js, backend development, and cloud infrastructure.

About the job

Responsibilities

  • Design and build full-stack applications that power AI-driven workflows for enterprise users.
  • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.
  • Build scalable backend services supporting real-time AI interactions, knowledge retrieval, and automation.
  • Optimize AI-powered UIs for seamless and intuitive user experiences.
  • Collaborate 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.

Requirements

  • 2–5 years of hands-on experience building full-stack production applications.
  • Proficiency with React, TypeScript, and Node.js.
  • Backend development experience using Python, Go, or similar languages.
  • Strong knowledge of cloud infrastructure, including AWS, Google Cloud, 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, solve complex problems, and deliver impact.
  • Strong collaboration skills and experience working cross-functionally with engineers, designers, and AI researchers.

Nice-to-Haves

  • Experience building AI-powered applications with LLM integrations.
  • Experience in high-performance startups or enterprise AI environments.
  • Strong UI/UX design skills and experience building intuitive AI-driven interfaces.
  • Experience with GraphQL, WebSockets, or real-time data streaming.
  • Contributions to open-source projects or developer tools for AI.

Skills

React, TypeScript, Node.js, Python, Go, AWS, GCP, Azure, LLMs, Retrieval-Augmented Generation, GraphQL, WebSockets, Real-Time Data Streaming, AI Agents, Scalable Architectures

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