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Senior Fullstack Software Engineer
Job Location:
Monthly Salary:
Experience Required:
Posted:
11 June 2026 (30+ days ago)
Posted:
Application Deadline:
8 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Este es un puesto de trabajo remoto.
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: 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.
Required Education:
System Engineer
