GUSAGA · 1 day ago
ML Computer Vision Engineer
United States
Full-time
Remote
Mid Level
3+ years expGUSAGA is building intelligent, automation-driven tools for design professionals, aiming to modernize the design process. They are seeking a Founding Engineer to architect and develop an AI-assisted web platform that analyzes design documents and supports engineering workflows.
Computer Software
Responsibilities
Technical Architecture: Define the core system architecture, choose the tech stack, and build out cloud infrastructure (e.g., Firebase, GCP, or AWS) for scalability and speed
AI Integration: Implement LLM and vision-based APIs to detect, classify, and redline potential design issues in engineering drawings
Full-Stack Development: Build a modern, responsive web interface and connect it to a robust, cloud-native backend that supports secure file uploads, processing, and collaboration
Data Pipelines: Develop systems for parsing, storing, and analyzing large design documents (e.g., PDFs, plans, CAD exports) with precision and performance
Product Iteration: Work hand-in-hand with the business team to turn engineering workflows into intuitive product experiences — rapidly testing and refining based on real-world feedback
Founding Impact: Set engineering culture, standards, and processes from day one, shaping how the company scales technically and culturally
Qualification
Required
3+ years of full-stack software development experience with a history of shipping production products
Strong command of cloud-native architectures (Firebase, Node.js, Python, or similar)
Proven experience integrating AI APIs (e.g., OpenAI, Anthropic, Vision/Document AI) into web applications
Comfort working with large or complex file types (PDFs, etc.)
Preferred
Experience in AEC, construction tech, or document automation
Familiarity with computer vision or geometry processing
Prior experience taking a startup from 0 → 1
Strong product ownership and bias toward execution
Company
GUSAGA
A team of multi-disciplinary experience tackling a wide range of problems. We are laser focused on bringing simplicity in our solutions.
2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase