Full Stack Engineer Logistics SaaS

Hire Hangar, Inc.; Colombia; A distancia; COP 323.656.000 - 485.484.000; Jornada completa

Descripción de la vacante

Hire Hangar, Inc. is seeking a Full Stack Engineer with a focus on AI-assisted development to join a Logistics SaaS product team. This remote, offshore placement requires real overlap with US Pacific hours and a product mindset beyond pure coding.

You will build end-to-end features in Node.js/JavaScript, leverage Claude for coding, and work with cross-functional teams to ship practical solutions for dispatch, fleet, and driver workflows. Prior remote experience with US/UK teams is preferred.

Formación

• 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).
• 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 and comfort with US/UK collaboration tools.

Responsabilidades

• 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.

Conocimientos

Remote collaboration

Product-minded engineer

Communication

Herramientas

Node.js

JavaScript

Claude (AI-assisted coding)

Google Workspace

Slack / Zoom / Asana

Descripción del empleo

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