Recruiter
Ekaterina Bulanova
Roles:
Backend
Must-have skills:
PythonReactTypeScript
Considering candidates from:
Baltics, Eastern Europe, Southern Europe and Western Europe
Baltics, Eastern Europe, Southern Europe and Western Europe
Work arrangement: Remote
Industry: Entertainment Providers
Language: English
Level: Senior or lead
Required experience: 5+ years
Size: 2 - 10 employees
Company
Building the entertainment studio of the future. Looking for AI filmmakers, data analyst, product manager, producers. Join us!
Description
Tasks:
- Agent systems. Fleets of agents that plan, create, critique, and repair autonomously, and stay reliable when nothing about them is deterministic.
- Generative media at scale. Getting consistent, high-quality output from frontier models, hour after hour.
- Behavioural intelligence. Understanding what drives attention and desire, and turning real-world response into better decisions about what to make next.
- Distributed infrastructure. Systems that scale with demand and survive the failures of everything they depend on.
- Consumer product. The owned platform, where audiences engage and convert.
Must-have:
- A senior or staff-level engineer, or a founder or early engineer who has carried a production system on your back. You are still deeply hands-on.
- Strong in Python and comfortable in TypeScript/React.
- Someone who has built distributed or high-throughput systems and debugged them in production.
- Already building with LLMs beyond the demo stage, in production, with real evaluation.
- A heavy, opinionated user of AI coding agents who already ships multiples of what you shipped two years ago.
- Fast, but with a very high quality bar. You can tell a real fix from a patch that hides the symptom.
- A clear writer. Our plans, audits, and postmortems are written documents.
Nice-to-have:
- Generative media, video pipelines, or film/TV experience
- Growth engineering, ad tech, or experimentation systems
- Consumer apps at scale
- Eval design for LLM systems
- Having founded something, or having been one of the first engineers somewhere
Work environment:
- Extreme ownership. You own an area from design to production to the 2 a.m. incident. Nobody hands you specs. You find the problem, write the plan, ship it, and measure it.
- Agent-native engineering. Most code here is written by humans directing coding agents (Claude Code, Cursor, Codex). The skill that matters is judgment: writing a precise plan, running agents in parallel, reviewing their output hard, and keeping the codebase small and clean. Our standard is that simple, correct code beats clever code.
- Production is the lab. We learn from real-world results, not demos.
- Outcomes are the metric. We judge work by measurable results, not by how impressive it looks.
Interview process:
- Intro call with Toughbyte
- Tech interview
- Paid trial period
Questions
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