RYZ Labs is looking for a highly skilled AI Fullstack Engineer to collaborate on cutting-edge AI solutions that transform the general supply chain. You’ll work with a forward-thinking client to develop AI-powered vision systems that analyze real-world logistics operations.This is a unique opportunity to apply your expertise in AI and machine learning to solve high-impact challenges in a rapidly evolving industry.

Basic Qualifications:
- 6+ years of professional software engineering experience shipping production software.
- Strong proficiency in TypeScript/Node.js and/or Python — comfortable on both backend and frontend.
- Experience with React and modern frontend frameworks (Next.js preferred).
- Solid understanding of relational databases (PostgreSQL) and API design (REST or GraphQL).
- Practical experience building with LLM APIs — you’ve shipped something with them, not just experimented.
- Working knowledge of Git workflows, Docker, and containerized environments.
- Strong communication skills in English — you write clearly and engage well async.

Key Responsibilities:





-Ship complete, production-ready features end-to-end: backend APIs, frontend UI, database schema, and tests.
- Build and improve internal AI-powered developer tools — things like automated bug triage, code generation assistants, and agentic workflows that help the team move faster.
- Integrate LLM APIs and agentic patterns (tool use, multi-step reasoning, prompt pipelines) into product features and internal systems.
- Own and improve CI/CD pipelines, deployment workflows, and developer infrastructure to keep the team shipping safely and quickly.
- Participate in code reviews, architecture discussions, and contribute to engineering standards on a small, collaborative team.
- Debug and resolve production issues across the stack, including working with GCP services and containerized workloads.

Nice to have:

-Experience with agentic architectures: tool use, agent loops, multi-step LLM pipelines, or

📌 AI Fullstack Engineer (Argentina)
🏢 Ryz Labs
📍 Argentina