Senior Backend Engineer - Remote AI Infra for Video Platform

Toogeza; Eu; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

toogeza is seeking a Senior Backend Engineer to build and scale the AI infrastructure powering an AI-driven video production platform. You will design and implement LLM-powered workflows and multi-agent systems, turning user inputs into reliable production pipelines.

You’ll own backend architecture, improve reliability and performance, and collaborate with product teams to shape the user experience. Remote work is supported.

Qualifications

• 5+ years of professional Python development, a solid share of it on an async stack (FastAPI / aiohttp / Starlette); deep understanding of asyncio.
• Strong PostgreSQL: schema design, transactions and locking, indexes, slow query analysis.
• Experience designing REST APIs and webhook integrations: idempotency, retries, consistent error handling.
• Hands-on performance work: profiling, metrics, load testing, and fixing the bottlenecks you find.
• Docker as a daily tool; Kubernetes at the "I deploy and debug my own service" level (each service ships its own Helm chart).
• A habit of writing tests (unit + integration) and taking features to production end-to-end: from design to monitoring.

Responsabilités

• Build and scale the core AI infrastructure behind the product.
• Work on LLM-powered workflows, multi-agent systems, integrations, and backend services that turn user inputs into reliable production pipelines.
• Design how agents interact, improve system reliability and performance, and experiment with new AI capabilities.
• Collaborate with the product team and have influence over both the technical architecture and user experience quality.

Connaissances

Python

Asyncio

REST APIs

Performance optimization

Test-driven development

Outils

PostgreSQL

Docker

Kubernetes

FastAPI

GitHub Actions

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Description du poste

toogeza is seeking a Senior Backend Engineer to build and scale the AI infrastructure powering an AI-driven video production platform. You will design and implement LLM-powered workflows and multi-agent systems, turning user inputs into reliable production pipelines.

You’ll own backend architecture, improve reliability and performance, and collaborate with product teams to shape the user experience. Remote work is supported.