GR8 Tech is hiring a Senior Full Stack Developer

About CoLab At CoLab, our mission is to accelerate mechanical engineering teams in bringing transformative products to market significantly faster. CoLab provides a cloud-based engineering design review platform that simplifies collaboration across organizational boundaries. Our innovative platform enables subject matter experts to seamlessly access, evaluate, and annotate 2D drawings and 3D models. The integrated AI peer checker, AutoReview, autonomously scans designs for potential errors and non-compliance with established standards, generating contextual markups comparable to human review. By leveraging CoLab, businesses integrate human expertise with artificial intelligence, facilitating more informed decision-making and accelerated design optimization. Our platform captures and centralizes organizational knowledge previously scattered across various communication channels, ensuring critical insights and design guidelines are applied precisely when needed. Prominent companies like Johnson Controls, Komatsu, Schaeffler, and Polaris have experienced remarkable improvements, including 40% faster product launches, 50% reduced bill of materials costs, and 15% fewer quality escapes within one year. About the Role This is not a conventional full stack development position. You'll operate at the intersection of high-scale software and real-world artificial intelligence applications, constructing features and infrastructure that deeply integrate with large language models and machine learning systems. As part of the Build Scale team, you'll drive critical product experiences like AutoReview—our AI-assisted design verification tool—and future language model capabilities designed to empower engineers in making faster, more informed decisions. Your responsibilities will encompass end-to-end delivery, from developing backend APIs and vector search pipelines to crafting intuitive frontend interfaces that engineers depend on daily. This opportunity is ideal for professionals passionate about tackling challenging technological frontiers: implementing production-ready large language model and machine learning features within a sophisticated SaaS platform serving global engineering teams. If you thrive on taking ownership, have comprehensive full-stack expertise, and are energized by cutting-edge AI innovations, this role is tailored for you. Our Ideal Candidate We seek a developer with a proven track record of building and maintaining scalable full-stack applications, preferably in SaaS or distributed systems environments. You should demonstrate profound experience in backend (Python, APIs, data pipelines) and frontend (React, TypeScript, UX patterns) development. Beyond core development skills, we value hands-on experience with large language models and machine learning tooling. You should be comfortable experimenting with emerging technologies, crafting custom prompts, and optimizing performance across the technological stack. We value pragmatic builders who maintain simplicity, collaborate effectively across disciplines, and possess a nuanced understanding of when to ship and when to refine. Responsibilities - Develop and maintain user-facing features and APIs integrating language model and machine learning capabilities - Design and scale backend systems supporting vector search, agent workflows, and human-AI collaboration - Collaborate closely with product and design teams to create intelligent, intuitive user experiences - Prototype, prompt, and evaluate language model solutions using platforms like OpenAI, Anthropic, and Hugging Face - Mentor teammates through code reviews, design sessions, and collaborative debugging - Contribute to technical strategy and stack-wide best practices - Measure and optimize system performance and reliability at scale Qualifications - 5+ years full-stack development experience - Proficiency in Python and associated libraries, with expertise in designing robust, scalable APIs - Proficiency in React, TypeScript, and front-end tools like Webpack, Vite, npm, and ESLint - Experienced with relational (PostgreSQL, MySQL), NoSQL (DynamoDB), and vector databases (OpenSearch, Pinecone, FAISS) - Skilled in writing comprehensive automated tests, including unit and end-to-end testing - AI/ML Experience: - Libraries: PyTorch, Hugging Face, Scikit-Learn - Agent workflows: pydantic-ai - Large language model API integration - Cloud machine learning service experience - Strong Git workflow knowledge and test-driven development practices - Self-motivated, curious, and collaborative - GraphQL experience - Familiarity with observability tools Extra Details - Compensation: Competitive salary with stock options - Benefits: Extended health and dental, RRSP matching, unlimited paid vacation - Work Policy: Remote within Canada Equity Note We recognize historical barriers in job application processes. We encourage applicants to apply even if they don't meet every qualification, as potential matters most to us.