Lead Software Engineer
Remote • FullTime
Posted 8mo ago
About the job
Eloquent AI is building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology transforms how work gets done in regulated, high-stakes environments, powering leading financial institutions and insurers. We are a fast-growing company backed by top-tier investors, seeking talented individuals to redefine the future of financial services.
As a Lead Engineer, you will spearhead the development of AI-powered full-stack applications, overseeing and mentoring other engineers. You will remain hands-on across the technology stack while taking ownership of technical direction, code quality, and delivery standards. This role involves close collaboration with engineers, AI researchers, and product teams to ensure scalable, reliable systems for real-time AI-driven workflows in a fast-paced, AI-first environment.
Responsibilities
- Design and build full-stack applications powering 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.
- Develop high-performance front-end interfaces for AI agent control, monitoring, and visualization.
- Build scalable backend services supporting real-time AI interactions, knowledge retrieval, and automation.
- Integrate LLMs, RAG, and automation into production-ready systems in collaboration with AI researchers and ML engineers.
- Establish engineering best practices for testing, deployment, and performance optimization.
- 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.