Remote FullStack Engineer – React + Django – AI Systems

Posted One Month Ago
6 Locations
In-Office or Remote
100K-100K Annually
Mid level
Artificial Intelligence • Logistics • Software • Automation
The Role
Build end-to-end features across React frontends and Django backends, design data models and APIs, craft responsive UIs with MUI, implement algorithmic/AI logic (scoring, ranking, decision rules), optimize performance and caching, and ship pragmatic production-ready code within a small distributed team.
Summary Generated by Built In

We're a remote, product-focused startup building AI- and algorithm-driven systems. We're
looking for a FullStack Engineer who can move fluidly between React frontends and Django
backends.
You'll own features end-to-end: from designing the data model, building the API, to crafting the
UI that brings it all together. You'll work with a small distributed team across several countries,
shipping fast and iterating based on real feedback.
💰 $100 bonus: After successfully completing the assessment. To receive the assessment,
please submit your resume to this job application. If your resume is approved, you'll receive the
assessment afterwards.

What You'll Do
  • Build and ship complete features across React frontend and Django backend.

  • Develop responsive web apps using React and Material UI (MUI).

  • Design backend services and APIs using Python + Django (DRF or similar).

  • Create clean, responsive UIs with React that connect to our services.

  • Implement algorithmic/AI logic (scoring, ranking, decision rules) and surface it in the UI.

  • Write pragmatic, production-ready code that ships fast and iterates easily.

What We're Looking For
  • Strong proficiency in React and Material UI.

  • Attention to detail: You care about alignment, spacing, and how the app feels to the user.

  • Comfortable designing and building RESTful APIs (bonus if you’ve used DRF or similar frameworks).

  • Experience working on non-trivial business logic or algorithms (e.g., decision flows, scoring rules, optimization logic).

  • Good instincts around performance: understanding query behavior, avoiding obvious pitfalls, and using caching when it counts.

  • Ability to work independently in a remote environment and communicate clearly.

Bonus Points For
  • Comfortable coding with AI assistants (Claude Code, Cursor, etc.).

  • Experience shipping complete products in startups, side projects, or hackathons.

  • Background in algorithms or data-heavy systems.

  • Experience with GCP, Redis, or Docker/Kubernetes.

  • Familiarity shipping mobile apps with React Native.
    This role is a central piece of our product roadmap, and we're aiming to fill it quickly once we
    meet the right person. If it resonates with you, go ahead and apply now. Send us your resume
    to start the assessment process (and get a chance at the $100 bonus).

Skills Required

  • Strong proficiency in React
  • Experience with Material UI (MUI)
  • Proficiency in Python and Django
  • Experience designing and building RESTful APIs (DRF or similar)
  • Experience implementing non-trivial business logic or algorithms (scoring, decision flows, optimization)
  • Good instincts around performance, query behavior, and caching
  • Ability to work independently in a remote environment and communicate clearly
  • Attention to detail (alignment, spacing, app feel)
  • Comfortable coding with AI assistants (Claude Code, Cursor, etc.)
  • Experience shipping complete products in startups, side projects, or hackathons
  • Background in algorithms or data-heavy systems
  • Experience with GCP, Redis, or Docker/Kubernetes
  • Familiarity shipping mobile apps with React Native
Am I A Good Fit?
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The Company
10 Employees
Year Founded: 2019

What We Do

Spotter.ai is an AI-powered freight technology company serving trucking carriers, fleet operators, and owner-operators across North America. Its integrated platform supports freight-market intelligence, recruiting, load optimization, transportation management, dispatch workflows, safety and compliance monitoring, and load-board automation. By combining real-time data with automation, Spotter.ai helps fleets improve operational visibility, reduce downtime, increase safety, and make more efficient, profitable decisions every day.

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