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Shared by 
23 days ago
Requirements and responsibilities
About the roleRYZ Labs is looking for a highly skilled AI Fullstack Engineer to collaborate on cutting-edge AI solutions that transform the global 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 Qualifications3–6 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 ResponsibilitiesShip 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 haveExperience with agentic architectures: tool use, agent loops, multi-step LLM pipelines, or frameworks like LangGraph or CrewAI.CI/CD experience: GitHub Actions, deployment pipelines, environment management, or infrastructure-as-code.Familiarity with GCP (Cloud Run, GCS, Pub/Sub, BigQuery) 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.About RYZ LabsRYZ Labs is a startup studio built in 2021 by two lifelong entrepreneurs. The founders of RYZ have worked at some of the world's largest tech companies and some of the most iconic consumer brands. They have lived and worked in Argentina for many years and have decades of experience in Latam. What brought them together is the passion for the early phases of company creation and the idea of attracting the brightest talents in order to build industry-defining companies in a post-pandemic world.Our teams are remote and distributed throughout the US and Latam. They use the latest cutting-edge technologies in cloud computing to create applications that are scalable and resilient. We aim to provide diverse product solutions for different industries, planning to build a large number of startups in the upcoming years.At RYZ, you will find yourself working with autonomy and efficiency, owning every step of your development. We provide an environment of opportunities, learning, growth, expansion, and challenging projects. You will deepen your experience while sharing and learning from a team of great professionals and specialists.Our values and what to expectCustomer First Mentality — every decision we make should be made through the lens of the customer.Bias for Action — urgency is critical, expect that the timeline to get something done is accelerated.Ownership — step up if you see an opportunity to help, even if not your core responsibility. Humility and Respect — be willing to learn, be vulnerable, and treat everyone who interacts with RYZ with respect.Frugality — being frugal and cost-conscious helps us do more with less.Deliver Impact — get things done in the most efficient way.Raise our Standards — always be looking to improve our processes, our team, and our expectations. The status quo is not good enough and never should be.
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