AI Engineer

AI Engineer, London Location

London

Full time

Remote

As an AI Engineer at Eloquent AI, you will build and scale AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment.

• 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 that support real-time AI interactions, knowledge retrieval, and automation.
• Optimize AI-powered UIs to ensure seamless and intuitive user experiences.
• 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.

• 2–5 years of hands-on experience building full-stack production applications.
• Proficiency in modern web technologies, including React, Type Script, and Node.js.
• Experience with backend development using Python, Go, or similar languages.
• 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.
• Experience building AI-powered applications with LLM integrations.
• Experience in high-performance startups or enterprise AI environments.
• Sharp eye for UI/UX design and having built intuitive, AI-driven interfaces.
• Experience with Graph
  
  QL, Web Sockets, or real-time data streaming.
• Contributions to open-source projects or building developer tools for AI.