Eloquent AI, Inc.

A leading AI technology company in Greater London is seeking an experienced AI Engineer to build and scale AI-powered applications. In this role, you'll design and develop both front-end and back-end systems to enhance the interaction between enterprises and AI agents. You'll need 2-5 years of experience with modern web technologies and backend development, ideally in a fast-paced tech environment. The position offers opportunities for working on innovative AI solutions and collaborating with experts in AI research.

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.

A leading AI technology firm in the United Kingdom is looking for an FAgent Deployment Manager to lead the deployment of AI Agents in enterprise settings. The role includes managing customer deployment lifecycles, coordinating configurations, and driving successful project outcomes. Candidates should have 3-5 years of B2B SaaS experience, solid LLM skills, and coding proficiency in Python, React, and TypeScript. The position is offered as a full-time role with remote work options.

Location London Employment Type Full time Location Type Remote Department Deployment Your Role As an FAgent Deployment Manager at Eloquent AI, you'll be responsible for leading the end to end deployment of our AI Agents and Operators into enterprise environments. You'll work directly with customers to scope use cases, manage configurations, monitor performance, and ensure successful go lives. What You'll Do Manage the full deployment lifecycle of AI Operators, from kick off to go live, with enterprise customers. Partner with customers to understand business processes, scope requirements, and align on deployment goals and success criteria. Coordinate configuration, testing, and validation of Operators using internal tools and prompt design frameworks. Collaborate cross functionally with Product, Engineering, and AI teams to resolve edge cases and ensure long term success. Participate in a 24/7 on call rotation, coordinating responses to critical customer facing incidents. Act as a first responder during incidents, taking ownership of investigation and coordination, even when issues extend beyond your immediate area of expertise, by engaging the right teams and driving resolution end to end. Contribute to improving deployment playbooks, escalation processes, and operational readiness over time. What You'll Bring 3-5 years of experience in solution delivery, implementation, or technical project management in a B2B SaaS environment. At least 1 year of hands on experience working with LLMs, including a solid understanding of agent behaviour, prompt iteration, and system constraints. Ability to map complex workflows into structured logic and work closely with technical teams to implement them effectively. Strong communication and organisational skills to conduct customer meetings, manage timelines, and drive execution. A strong sense of ownership to track results, and ensure nothing falls through the cracks. A background in Data Science, Computer Science, Engineering, or another STEM field, or equivalent relevant practical experience in a technical or engineering role. Hands on coding or scripting experience with Python, as well as React and TypeScript, and are comfortable reading and working alongside production code. Experience deploying AI powered tools, chat based interfaces, or automation products. Delivered projects in fintech, insurance, banking, or other regulated industries. Comfortable operating in high ambiguity, fast moving environments where customer impact and reliability come first.