AI Engineer, Platform
Hybrid (San Francisco)$150k - $250kFull-timePosted 11mo ago
About the role
AI Engineer role at Eloquent AI focused on building and scaling AI-powered platform applications for enterprise, with full-stack responsibilities across frontend and backend, integrating LLMs and AI workflows in regulated environments.
Responsibilities
- 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.
Qualifications
- 1-2 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.
Skills
Required:Full-stack developmentReactTypeScriptNode.js
Nice to have:PythonGo
Last updated Aug 26, 2026. Interested? Apply on the company site.

About Eloquent AI
The AI Operator for Financial Services
We automate complex, regulated operations in financial services—no APIs, no engineering required. We hit $500K ARR in just four weeks because customers deploy instantly. Our AI Operator learns by observing existing workflows and SOPs, securely controlling browser and desktop applications to automate up to 96% of tasks.
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