Software Engineer

Why Join Us

• AI powered construction platform for residential contractors centralizing estimating, budgeting, invoicing, payments, and change orders.
• AI estimating turns homeowner ideas into detailed line item estimates in minutes instead of days.
• Seed stage company founded 2023, more than $8M raised to build a construction financial operating system.
• Founded by Talech founders Irv Henderson and Leo Jiang, backed by Morado Ventures and Xplorer Capital.

Role Responsibilities

• Build and maintain core product features across frontend (React, NextJS, mobile).
• Collaborate directly with engineering, design, product, and sales to create seamless experiences for our customers.
• Write code with AI that balances speed with quality - we ship fast, but we also build for scale.
• Help shape our tech stack, architecture, and product direction.
• Jump into everything from UI tweaks to database queries - full stack.
• Design and ship AI-assisted product features using LLMs and tool/function calling, embedded directly into estimating, document processing, and financial workflows.
• Build and operate reliable AI workflows and lightweight agents that combine model outputs, external tools, and deterministic business logic to produce accurate, auditable results.

Qualifications Required

• 3–10 years of professional software development experience.
• Strong frontend development skills with React and NextJS, with working knowledge of backend technologies and APIs.
• Experience with mobile development (native or cross-platform frameworks like Capacitor or React Native).
• Solid understanding of web security principles and performance optimization best practices.
• Strong understanding of agile development practices and working in fast-moving startup environments.
• Love working in early-stage chaos — priorities change, solutions evolve, and that energizes you.
• Can take a vague problem, break it down, and deliver something customers love.
• Hands-on experience building production AI workflows involving tool/function calling or agent-like orchestration, including prompt design, context selection, and structured outputs.
• Strong judgment in designing safe, observable, human-in-the-loop AI systems, with an understanding of reliability, failure modes, and when AI is (or isn't) the right solution.