Backend Engineer
Position Summary & Responsibilities
The Short Version
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.
The Hard Part
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.
What You'll Actually Do
Own integration quality end to end: catch issues before customers do, fix them, and make sure they can't recur.
Build the tool gateway: turn every connected API and MCP into a clean Python SDK the agent composes, with routing, auth, rate limits, and reliability.
Run the sandboxes: a persistent Linux environment per workspace, isolated, secured, autoscaled, and cheap per task.
Own the data layer: state and persistence across tens of thousands of multi-tenant workspaces, durable and fast.
Whatever needs building. Small team, large surface.
Who You Are
You design distributed systems for scale and reliability, and have operated them in production through the breakage.
You know sandboxing and OS-level isolation cold: containers, Linux internals, running untrusted cod
Key Role Competencies & Evaluation Highlights
Evaluating raw problem-solving speed and extreme ownership in high-ambiguity engineering environments.
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