The Role
Founding senior full‑stack engineer building a greenfield, mobile‑first platform for technician workflows. Own frontends, backends, data models, integrations, AI features, and deployment. Deliver AI‑powered checklists, diagnostic summaries, billing/compliance tools, and durable mobile UIs integrated with vehicle APIs and shop systems.
Summary Generated by Built In
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
Requisitos
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.
Skills Required
- 5+ years of fullstack development experience
- System architecture and data modeling for scalable, maintainable systems
- Authentication, authorization, and data protection best practices
- Frontend development with React and TypeScript, mobile-first responsive design
- Backend development with Node.js, Python, and REST API design
- Database design and optimization with PostgreSQL / SQL
- Cloud infrastructure experience (GCP, Azure, or AWS) including deployment and scaling
- Experience integrating and working with LLMs and AI tools
- DevOps experience: CI/CD pipelines, automation, and reliable delivery workflows
- 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, insurance)
- Background in hardware, embedded systems, vehicle data protocols (CAN bus, diagnostics APIs)
- Hands-on experience with LLM pipelines, structured outputs, RAG, or AI agent workflows
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The Company
What We Do
The company provides automation and process optimization, UX innovation, software designing and testing, big data, artificial intelligence, and machine learning. They are involved in the development of computer systems and IT consulting.
