We use cookies to run the site and count visits. "Got it" also allows session recording.
Viktor
Warsaw, Poland5 months ago
Work format
Onsite
English level
B2, upper-intermediate
An email or a Telegram message to the recruiter
You make everything the agent runs on solid: the integrations it reaches through, the gateway that turns them into functions it can call, the sandboxes it runs in, and the data underneath.
Viktor reaches into thousands of integrations for tens of thousands of teams, millions of tool calls a day, on real customer data. Every integration that quietly misbehaves is a task Viktor gets wrong.
We're building a harness ready for AGI-level models: an agent that explores what a company runs on and automates it on its own. That bet lives or dies on the backend underneath. The gateway, sandboxes, and data every task runs through have to be fast, solid, and never the reason the agent got it wrong.
Small team, high trust, low process. Decisions are made by owners, not committees. You will ship your first week. You will talk to users your first day.
We don't do alignment meetings or stakeholder syncs. We build things, see if they work, and iterate.
We're one of the fastest-growing companies in the world. The product works. The market is pulling.
This is a rare window: everyone here owns something real. Not a task. A surface of the company that customers depend on. That doesn't last forever. Right now, it's still true.
You've built and operated real backend systems in production and have scars from how they break.
You may never have shipped an LLM feature, and that's fine. If you haven't run systems in production, this isn't the role.
Python. No agent framework and no container orchestration layer: Python services, persistent Linux sandboxes per workspace, Modal for infrastructure. You'll live in OAuth and webhooks, the tool gateway, and multi-tenant data. You don't need all of it coming in, but you need to learn fast.
Top-of-the-market salary and the kind of ownership that only exists at this stage.
The best work happens when you're in the room. This role is Munich or Warsaw.
You make everything the agent runs on solid: the integrations it reaches through, the gateway that turns them into functions it can call, the sandboxes it runs in, and the data underneath. You've built and operated real backend systems in production and have scars from how they break.
You may never have shipped an LLM feature, and that's fine. If you haven't run systems in production, this isn't the role.
Viktor reaches into thousands of integrations for tens of thousands of teams, millions of tool calls a day, on real customer data. Every integration that quietly misbehaves is a task Viktor gets wrong.
We're building a harness ready for AGI-level models: an agent that explores what a company runs on and automates it on its own. That bet lives or dies on the backend underneath. The gateway, sandboxes, and data every task runs through have to be fast, solid, and never the reason the agent got it wrong.
Python. No agent framework and no container orchestration layer: Python services, persistent Linux sandboxes per workspace, Modal for infrastructure. You'll live in OAuth and webhooks, the tool gateway, and multi-tenant data. You don't need all of it coming in, but you need to learn fast.
Small team, high trust, low process. Decisions are made by owners, not committees. You will ship your first week. You will talk to users your first day.
We don't do alignment meetings or stakeholder syncs. We build things, see if they work, and iterate.
We're one of the fastest-growing companies in the world. The product works. The market is pulling.
This is a rare window: everyone here owns something real. Not a task. A surface of the company that customers depend on. That doesn't last forever. Right now, it's still true.
Top-of-the-market salary and the kind of ownership that only exists at this stage.
The best work happens when you're in the room. This role is Munich or Warsaw.
We compare skills, grade, work format and salary
Most often 27,500 to 36,100