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Job Title Full Stack Engineer (AI-Assisted Development) – Logistics SaaS
Location Remote
Time Zone US Time Zones
Role Overview We are looking for a Full Stack Engineer with a strong foothold in logistics and trucking software to join a dedicated SaaS product team. This role is built for an engineer who thinks in products, not just code — someone who can harness AI tools like Claude to move fast, solve real problems, and build features that make sense for the industry. This is a full-time, offshore placement requiring genuine overlap with US Pacific hours.
Key Responsibilities
Build and iterate on full stack features using Node.js and JavaScript across the entire product
Use AI-assisted coding tools effectively — prompting, reviewing, and refining AI-generated output rather than relying solely on manual coding
Translate product requirements and logistics workflows into well-structured, maintainable solutions
Work closely with cross-functional teams to ship features that align with real operational needs
Support QA, documentation, and deployment as part of a collaborative development cycle
Proactively surface technical risks and contribute to product improvement discussions
Required Qualifications
Solid full stack experience in Node.js and JavaScript (front and back end)
Industry experience in logistics or trucking software is non-negotiable
Hands-on experience using AI coding assistants (Claude preferred) to generate, prompt, and refine code
SaaS product background with an understanding of product lifecycle and user-facing development
Deep product comprehension — able to understand the "why" behind features, not just the technical execution
Must have prior remote work experience, be fluent with remote collaboration tools and platforms (such as Slack, Zoom, Google Workspace, Asana, or similar), and have ideally worked with US or UK-based companies. Applications without this experience will not be considered.
Preferred Qualifications
Experience with logistics platforms covering areas such as dispatch, fleet, freight, or driver management
Familiarity with scalable SaaS architecture patterns
Exposure to product-led teams where engineers contribute directly to roadmap and feature decisions
Tools & Technology
Node.js & JavaScript
Claude (AI-assisted coding)
Google Workspace
Slack, Zoom, and other remote collaboration tools
Please NOTE It is crucial that you complete the application form in full. As part of the application process, you will be required to record a video. If your application is successful, you will receive an email confirming next steps—the video is the first step of the interview process. If you do not record a video, we will not be able to consider you for ANY open roles.
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