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.
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, 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.
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.
As a Deployed Engineer on the Professional Services team, you'll work with enterprise customers to design and build reliable production agents, translating workflows into actionable software specifications.
As an AI & Machine Learning Engineer, you will design, build, and optimize data workflows for Machine Learning and Generative AI solutions in cloud environments, ensuring seamless integration and performance enhancement.
The AI Engineer will build, integrate, test, and deploy AI-enabled applications and enterprise solutions, translating architecture and security decisions into working software.
Design and implement end-to-end Workday integrations while building custom applications and enhancing workflows through automation and AI capabilities.
As a Deployed Engineer, you will work with enterprise customers to design and build reliable AI agents, translating workflows into software specifications and guiding engineering teams.
