Backend engineer with DevOps in AI infrastructure

Unabyss; United States; Remote; USD 50,000 - 88,000; Full time

Benefits offered by this job

Remote work in CET time zone

ESOPs planned

Sports benefits

Job summary

Unabyss ищет backend-инженера для построения инфраструктуры AI: проектирование и реализация бэкенда, обработка данных и потоковая передача, а также настройка CI/CD и мониторинга.

Работа полностью удалённая с гибким графиком в зоне CET ±2 часа; возможность влиять на архитектуру и техническое направление, расти до tech lead или principal инженерного направления, участие в ESOP и спортивных льготах.

Qualifications

• Опыт 1+ лет Python и Django.
• Понимание asyncio, асинхронности и очередей задач.
• Опыт AI-first программирования и использования AI инструментов.
• Умение работать с Linux и контейнеризацией.
• Свободный английский (письменно и устно).
• Будет плюсом: 3+ года Python/Django.
• Опыт интеграции LLM и retrieval-augmented generation.
• Опыт в облачных платформах (GCP или аналог).
• Опыт в ранних стартапах/малых командах.

Responsibilities

• Проектирование и реализация бэкенда от моделирования данных до API.
• Построение и обслуживание асинхронных конвейеров обработки и стриминга.
• Улучшение pipelines развёртывания в staging/production.
• Создание CI/CD, тестирования и linting.
• Поддержка мониторинга, алертинга и самовосстанавливающейся инфраструктуры.
• Участвовать в архитектурных решениях и направлениях продукта.
• Помощь в масштабировании инфраструктуры по мере роста продукта.

Skills

Python & Django

Async Python

AI-first programming

Linux & containers

Independent work

Fluent English

Python/Django 3+ yrs

LLM integration

Cloud (GCP)

Startup experience

Tools

Cursor

Claude Code

Job description

Описание: We're building Unabyss - the universal context layer for AI. Users store all their context (background, expertise, preferences, goals) in one place, and any AI tool can access it via MCP and APIs. The user controls what gets shared, with whom, at what depth. We've just raised pre-seed funding and are assembling the founding engineering team. This is the ground floor of a company building core infrastructure for the AI era.

Задачи:

• Design and implement backend features end-to-end - from data modeling to API endpoints
• Build and maintain async processing pipelines and real-time streaming infrastructure
• Own and improve the deployment pipeline across staging and production environments
• Build out CI/CD pipelines with automated testing, linting, and deployments
• Maintain monitoring, alerting, and self-healing infrastructure
• Participate in architectural decisions and help shape the technical direction of the product
• Help migrate and scale infrastructure as the product grows

Требования:

• 1+ years of professional experience with Python and Django
• Strong understanding of async Python - asyncio, async views, task queues
• Experience with AI-first programming - using AI coding tools (Cursor, Claude Code etc.) as a core part of your workflow
• Comfortable with Linux server administration and containerized deployments
• Ability to work independently, make decisions, and drive features to completion with minimal supervision
• Fluent English (written and spoken)
• Будет плюсом: 3+ years of professional experience with Python and Django
• LLM/AI integration experience - embedding pipelines, retrieval-augmented generation
• Experience with cloud platforms (GCP or similar)
• Experience in early-stage / small-team environments

Условия:

• €4,000-€7,000/month gross (€48k-€84k/year), calibrated to experience and location
• Fully remote with full flexibility - work from anywhere within CET ±2h
• ESOPs planned as the company scales - you're joining early enough to benefit
• Sports benefits
• Direct collaboration with the CTO - significant influence over technical decisions and architecture
• A clear growth path: evolve into a tech lead / engineering manager role, or deepen into a principal engineer track
• The chance to help build something massive from the very beginning