Eloquent AI

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. As an AI Engineer at Eloquent AI, you will be at the forefront of building and scaling 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'll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. 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. Bonus Points If You have experience building AI-powered applications with LLM integrations. You've worked in high-performance startups or enterprise AI environments. You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces. You have experience with GraphQL, WebSockets, or real-time data streaming. You've contributed to open-source projects or have built developer tools for AI.

A leading AI solutions provider in Greater London is seeking an FAgent Deployment Manager to lead the deployment of AI Agents in enterprise environments. You will manage the lifecycle from kickoff to go-live, collaborating with customers and teams to ensure real-world value is delivered. The ideal candidate should have 3-5 years of experience in B2B SaaS solutions delivery, strong communication skills, and hands-on knowledge of LLMs. This role offers a dynamic environment with impactful projects.

A cutting-edge AI company in the United Kingdom is seeking an AI Engineer to build and scale AI-powered applications that transform enterprise workflows. The ideal candidate will have 2-5 years of full-stack development experience, proficiency in modern web technologies like React and Node.js, and a strong understanding of cloud infrastructure. This position offers a fast-paced environment where you will collaborate with talented engineers and researchers to innovate in the field of AI.

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions-transforming how work gets done in regulated, high-stakes environments. We're already powering some of the world's leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. 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 with customers to scope use cases, manage configurations, monitor performance, and ensure successful go-lives. This is a customer-facing, deployment-focused role ideal for someone who excels at translating business needs into system logic, coordinating across teams, and ensuring that AI-powered workflows deliver real-world value. What You'll Do You'll 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 in line with company incident-management processes. 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. Bonus Points If You have some hands on coding or scripting experience with Python, as well as React and TypeScript and are comfortable reading and working alongside production code. You have experience deploying AI powered tools, chat based interfaces, or automation products. You've delivered projects in fintech, insurance, banking, or other regulated industries You're comfortable operating in high ambiguity, fast moving environments where customer impact and reliability come first.