Beware of Telegram Impersonation of Understanding Recruitment

Learn More

Graduate Software Engineer (AI Systems)

LB333
  • $125,000 - $155,000
  • Denver, CO

🚀 Graduate Software Engineer (AI Systems)

 Denver (Hybrid) | Full-time | New Graduates & Recent Grads


This isn’t a “watch from the sidelines” grad role. From your first weeks, you’ll be writing real code, shipping real features, and helping power AI systems used in live transportation environments.

We’re a venture-backed AI startup rethinking how global transportation works—using intelligent, real-time systems that operate in the real world. If you’re excited by fast feedback, meaningful ownership, and seeing your work in production, you’ll feel right at home here.


🛠️ What You’ll Be Working On

You’ll be part of a tight-knit engineering team building and scaling production AI systems:

  • Build and ship full-stack features using TypeScript (React / Next.js) and Python (FastAPI / Django)
  • Design and develop backend services and APIs that power AI-driven workflows
  • Help take machine-learning models from experimentation into production
  • Improve system performance, reliability, and scalability as we grow
  • Work in a high-ownership environment where your contributions are visible and valued


🎓 What We’re Looking For

We’re excited about engineers at the very start of their careers who are hungry to learn and ready to build:

  • Final-year or recent Computer Science graduates
  • Strong fundamentals in:
  • Algorithms and data structures
  • Software engineering principles
  • Scalable, reliable systems
  • Hands-on coding experience through internships, research, side projects, hackathons, or open source
  • Curious problem-solvers who enjoy tackling challenges without obvious answers
  • Able to work hybrid in Denver (3 days onsite minimum)


You don’t need to know everything—we care more about strong fundamentals, good judgment, and a willingness to learn fast.


🌟 Why You’ll Love It Here

  • Real impact from day one â€” production systems, real users, real results
  • High ownership â€” your work ships and scales, not sits in a backlog
  • Strong mentorship from experienced engineers invested in your growth
  • Exposure to the intersection of AI, software, and real-world operations
  • A culture that values learning, speed, and building things properly
Anna Heneghan Head of Machine Learning & AI Recruitment

Apply for this role