Summary
✨ AI‑Generated
A full-stack AI engineering role for someone who enjoys end-to-end ownership and building production AI systems. You will develop Python backend services and interfaces, design multi-step AI workflows using LLMs and agent architectures, and contribute to infrastructure, reliability, and technical direction.
Highlights
High-ownership full-stack AI role working closely with a founding team, combining product development, AI workflows, infrastructure, and technical direction in a fast-moving environment.
Description
The Role
Work directly with the founding team to build and ship AI-powered products that handle real logistics operations autonomously.
You'll work across the full stack, from multi-channel integrations and backend services to front-end interfaces, while pushing our AI capabilities forward.
What You'll Do
Build end-to-end features across our Python backend (FastAPI) and front-end interfacesDesign and improve multi-step AI workflows that process real-world logistics dataWork with LLM APIs, agent architectures, and evaluation tooling in productionContribute to infrastructure, CI/CD, and system reliability as we scaleShape product and technical direction alongside the founders
Who You Are
You take full ownership, from concept to deployed, working featureYou move fast, iterate constantly, and know when to shift toward robust, scalable systemsYou build with AI, not just around it.
AI-native development is how you work.You're comfortable with ambiguity and energized by small-team impact
What You Bring
Strong software engineering fundamentals: Python, JavaScript/TypeScript, SQL, REST APIsHands-on experience with LLMs: prompt engineering, API integration, evaluation, and related toolingFamiliarity with event-driven architectures, message queues, or background job processing is a plusExperience with Docker, CI/CD, and cloud infrastructureStartup mindset: resourceful, fast, biased toward shipping
Process
We move fast.
Expect a decision within one week.
Step 1: Application Fill out the form with one thing we really care about: submit an AI coding session, a transcript or log from Claude Code, Cursor, Codex, or whatever tool you use to build.
It can be .md, .txt, a combination of multiple sessions, or a link to a hosted artifact.
Step 2: Online Interview A single online conversation covering technical depth, problem-solving, and team fit.
No multi-round gauntlet.
Step 3: Technical Session (60 min) A live coding challenge where you build a small backend service from scratch using an AI-coding assistant (we provide it).
We'll observe how you work, then you walk us through your code and key decisions in the last 5 minutes.
Step 4: Decision Feedback and potential start within one week of your interview.
