Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pybd1

RYZ Labs is looking for a highly skilled AI Fullstack Engineer to collaborate on cutting‑edge AI solutions that transform the integral 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

- 3–6 years of professional software engineering experience shipping production software.
- Strong proficiency in Type Script/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 frameworks like Lang Graph or CrewAI.
- CI/CD experience: Git Hub Actions, deployment pipelines, environment management, or infrastructure‑as‑code.
- Familiarity with GCP (Cloud Run, GCS, Pub/Sub, Big Query) or similar cloud platforms.
- Experience with RAG systems, vector search, or embedding pipelines.
- Background working alongside ML or data engineering teams.
- Prior experience working in a remote, async‑first environment with a US‑based team.

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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pybd1

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