Senior Fullstack Software Engineer

Job Description This is a remote position. Role Overview: You will be a founding-level senior engineer in a small, fast-moving team building our core platform from scratch. This is greenfield development — no legacy code to maintain, just high-impact work that shapes the product from day one. We treat AI development tools (like Claude Code, Cursor, Copilot) as *core workflow engines*, not just helpers — you will use them daily to build features in days that would take others weeks. You will own the full stack: - Mobile-first, rugged user interfaces designed for technicians working in busy shop environments - Backend systems that track results, flag missing steps, and automatically generate documentation, quotes, and invoices - Everything in between: data models, business logic, integrations, and intelligence layers What You Will Build: Core Platform Engine A workflow system that guides technicians step-by-step through safety scans, system calibrations, and post-repair resets — drastically reducing errors, omissions, and compliance gaps. AI-Powered Intelligence Adaptive checklists and audit trails that adjust automatically based on vehicle make/model, repair type, and safety regulations — ensuring nothing is missed and everything is documented. Revenue & Compliance Tools Dashboards, alerts, and reports that help shop owners capture every billable service, reduce liability, and prove full compliance with industry standards. Technician-First Interfaces Simple, fast, and durable mobile/tablet UIs — built for real shop conditions: easy to read at a glance, hard to tap incorrectly, and fully usable even with dirty or gloved hands. Integrations Connect with existing tools: OEM diagnostic systems, repair management platforms, and vehicle data APIs — so our system fits seamlessly into how shops already work. 6. Advanced AI Features: - LLM-powered diagnostic summaries and natural-language documentation - Automatic conversion of repair estimates into step-by-step work orders - Intelligent automation that turns raw data into clear, actionable instructions Requirements Core Skills & Requirements We look for deep experience and strong capability in: System Architecture & Data Modeling: Designing scalable, maintainable, and secure systems. Security: Authentication, authorization, and data protection best practices. Frontend: React, TypeScript, modern UI patterns, and mobile-first responsive design. Backend: Node.js, Python, REST APIs, and service design. Data: PostgreSQL / SQL, database design, and performance optimization. Cloud Infrastructure: GCP, Azure, or AWS — deployment, scaling, and devops basics AI Integration: Working with LLMs, AI tools, and intelligent features. DevOps: CI/CD pipelines, automation, and reliable delivery workflows. Ideal Candidate Profile You are a great fit if: You have 5+ years of fullstack development experience and can take features from idea to production alone. You love AI coding tools — you use them daily, know how to get the best out of them, and see them as game-changers. You build software for real people — you care deeply about making complex things simple, especially for non-technical users. You move fast, but never compromise on safety, accuracy, or reliability — especially important in a regulated, safety-critical industry. You are motivated by real-world impact: your code will prevent mistakes, protect people, and help businesses succeed. You thrive in early-stage environments: you can handle ambiguity, define scope, prototype, and iterate quickly. You are customer-obsessed, open-minded, and always learning. Nice-to-Have Qualifications: Experience or familiarity with the automotive repair industry. Knowledge of OBD-II, ADAS systems, repair workflows, or shop management software. Experience building compliant software in regulated fields: automotive safety, healthcare, fintech, or insurance. Background in hardware, embedded systems, or vehicle data protocols (CAN bus, diagnostics APIs). Hands-on work with LLM pipelines : structured outputs, retrieval-augmented generation (RAG), or AI agent workflows.