Lead Software Engineer
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Overview
Job Description
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 a Lead 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, but also 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.
You will:
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 visualisation.
Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.
Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems.
Establish engineering best practices across testing, deployment, and performance optimisation.
Continuously iterate and refine AI-driven products, balancing speed with robustness.
Requirements
8+ years of hands-on experience building full-stack production applications.
Prior experience leading or mentoring engineers.
Proficiency in React, TypeScript, and Node.js.
Backend experience using Python.
Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures.
Understanding of AI-powered applications (LLMs, chat interfaces, agentic workflows).
Ability to work in a fast-paced, high-autonomy environment.
Strong collaboration skills across engineering, product, and AI teams.
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.
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
