Founding Engineer – Full Stack Developer

Location:

Experience:

Employment Type:

Salary:

AI-powered platform for financial advisors

As one of our earliest engineering hires, you’ll be working hands-on across the stack, building both the product and the infrastructure that powers our AI-first vision.

• Build and maintain both

  frontend (React + Tailwind)

  and

  backend (Node.js/Express + PostgreSQL)

  systems.
• Develop responsive, user-friendly interfaces with

  React, TypeScript, HTML5, and CSS3

  .
• Collaborate with product, design, and AI engineers to deliver new features quickly.
• Write clean, maintainable, and efficient code while following best practices.
• Optimize applications for performance, scalability, and security.
• Help design, test, and maintain

  databases (PostgreSQL + Prisma)

  .
• Support infrastructure management and deployments on

  Azure

  (or be ready to learn).
• Work on

  AI-powered features

  , including building and integrating

  AI agents and LLM APIs

  .
• Use

  AI coding tools (Cursor and Claude Code)

  daily to accelerate development.
• Troubleshoot, debug, and resolve technical issues end-to-end.
• Contribute to shaping the

  engineering culture and technical roadmap

  as a founding engineer.

• Strong proficiency in

  TypeScript & JavaScript (ES6+)

  .
• Hands-on experience with

  React (TSX/JSX, hooks, state management)

  .
• Solid understanding of

  HTML5, CSS3, Tailwind CSS

  .
• Experience with

  Node.js/Express

  for backend development.
• Understanding of

  SQL basics

  and working with

  PostgreSQL via Prisma

  .
• Ability to work in a

  fast-paced, ambiguous startup environment

  .
• Experience using

  AI-powered coding tools

  to boost productivity.
• Familiarity with

  Git/GitHub workflows

  .

• Experience with

  Python

  for backend scripts.
• Knowledge of

  JSON, REST APIs, and integrations

  .
• Exposure to

  AI agent frameworks (LangChain, LangGraph, etc.)

  .
• Experience with

  LLM integration (OpenAI, Azure OpenAI, Hugging Face)

  .
• Understanding of

  Azure cloud infrastructure

  (deployments, scaling, monitoring).
• Database management skills (migrations, indexing, tuning).
• Familiarity with

  Next.js

  or SSR frameworks.
• Knowledge of UI/UX principles.