Lead Full Stack Engineer @ Eloquent Ai - A Year - Remote

Overview

Lead Full Stack Engineer at Eloquent AI — a Year — Remote. Posting date: 18.05.2026. Job reference: df7cacf498c5c0e12dacdcc69a127891. Listing type: Basic. EU work permit: No.

Meet Eloquent AI (YC X25). 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.

About the role

As a Lead Full Stack Engineer at Eloquent AI, you will lead the development of AI-powered full-stack applications while overseeing and mentoring other engineers. You\'ll remain hands-on across the stack, yet take ownership of technical direction, code quality, and delivery standards. You\'ll work closely with engineers, AI researchers, and product teams to ensure scalable, reliable systems that power real-time AI-driven workflows. This role requires strong engineering fundamentals, leadership capability, and the ability to operate effectively in a fast-paced, AI-first environment.

Responsibilities

• Design and build full-stack applications that power AI-driven workflows for enterprise users.
• Oversee and review the work of other engineers, ensuring high-quality, production-ready code.
• Provide technical guidance, architectural direction, and hands-on support where needed.
• Develop high-performance front-end interfaces for AI agent control, monitoring, and scalable backend services that support real-time AI interactions, knowledge retrieval, and integration of LLMs, RAG, and automation into production-ready systems.
• Establish engineering best practices across testing, deployment, and performance.

Qualifications / required experience

• Strong engineering fundamentals and leadership capability.
• Ability to operate effectively in a fast-paced, AI-first environment.
• Experience building AI-powered full-stack applications and collaborating with AI researchers and product teams.
• Familiarity with integrating LLMs, RAG, and automation into production-ready systems.

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