Shelf ads

We’re hiring Middle/Senior Product Engineers (Full Stack) in Warsaw. At Shelf, you’ll build AI-native product experiences that make complex enterprise workflows feel clear, usable, and reliable — across React interfaces, backend logic, APIs, and data flows. This role is best suited for engineers with 3+ years of production full-stack experience and is based in our Warsaw office. Interested? Please leave your details, and our recruiting team will follow up.

We’re hiring Middle/Senior Fullstack Engineers in Warsaw. At Shelf, you’ll help build systems behind enterprise AI agents that reason over company knowledge, policies, workflows, and operational logic. You’ll work across React, backend services, APIs, data flows, production quality, and AI-native engineering workflows. This role is based in our Warsaw office. Please leave your details, and our recruiting team will follow up.

We’re hiring Middle/Senior Backend Engineers (Python) in Warsaw 🚀 At Shelf, you’ll help build reliable backend systems behind enterprise AI agents: APIs, data flows, production services, observability, and guardrails. This is a Warsaw office-based role for engineers who want ownership, strong teammates, and meaningful problems to solve together. Interested? Leave your details and our recruiting team will follow up.

Enterprise AI agents need to work with messy, conflicting, and sensitive knowledge, not just clean demo data. At Shelf, we build a platform that lets enterprises create AI agents on top of their knowledge across chat, copilots, social, and voice. We’re hiring Middle/Senior Backend Engineers (Python) in Warsaw to work on backend services, data pipelines, orchestration, observability, and reliability. This is a Warsaw office-based role. Leave your details and our recruiting team will follow up.

Masha S. made a great point in our latest Augmented U interview that I wanted to share here. A real AI factory needs multiple layers. One of the most foundational is the context layer - or, as she calls it, the truth layer. That’s the part most companies are missing. AI does not understand your business just because it can access your documents, policies, procedures, rules, workflows, and files. People bring context with them. They know which policy is current. They know when a rule applies. They know where exceptions live. They know how one process connects to another. AI does not know any of that unless the context is made available. And that context needs to be accurate, connected, and maintained. Otherwise, agents are just pulling from information without knowing what is true, what is relevant, or what applies. That idea is central to the problem we are solving at Shelf. If AI agents are going to reason, recommend, and take action inside the complexity of a business, they need more than access to data. They need access to trusted and contextualized knowledge. Watch the full interview here: https://lnkd.in/dh3rU82W

Python Backend Engineers in Warsaw - we’re looking for you 👀 Can an AI agent take real customer orders by phone in two languages? That’s one of the production AI agent problems we’re working on at Shelf. You’ll help build the backend systems behind agents that work across voice, chat, copilots, social, and other customer channels. This is a Warsaw office-based role. Leave your details and our recruiting team will follow up.