Senior Software Engineer, Full-Stack
Hybrid (San Francisco)$150k - $250kFull-timePosted 7mo ago
About the role
Senior Full-Stack Engineer responsible for designing and building AI-powered full-stack applications, collaborating with AI researchers and product teams to deploy enterprise-grade, real-time AI-driven workflows.
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
- 7+ 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.
- 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:ReactTypeScriptNode.jsPythonCloud infrastructureLLMs / AI-powered applications
Nice to have:Retrieval-Augmented Generation (RAG)
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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