Open roleExternal
AI Engineer, London
- london, england, United Kingdom
- Permanent·Remote
- Full time
- £60 - £80 Per Hour
Job Description
AI Engineer, London
Location
London
Employment Type
Full time
Location Type
Remote
Job Description
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.
You will:
- 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.
Requirements
- 2–5 years of hands-on experience building full-stack production applications.
- Proficiency in modern web technologies, including React, TypeScript, 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 GraphQL, WebSockets, or real-time data streaming.
- Contributions to open-source projects or building developer tools for AI.