We are seeking a Senior software engineer (10+ years) with deep experience in backend engineering, scalable systems, and Real-Time environments. This is a high-ownership, end-to-end role with full responsibility for architecture and development of core systems. You will design and build distributed backend services, async pipelines, and low-latency systems, integrating AI model outputs into production-grade workflows. The role is primarily backend (~90%), with enough frontend capability (~10%) to independently ship simple UI components when needed.
Youll work hands-on, building modular, self-contained services and supporting Real-Time video pipelines. The role involves close collaboration with the CTO and research team, driving technical decisions, and owning system reliability end-to-end-from design and testing through deployment and production stability in real-world enviroments
Requirements:
Strong Python backend development – APIs, async pipelines, clean architecture, and system design.
Deep understanding of backend architecture: service boundaries, data flow, scalability patterns, and building systems that operate reliably under real-world constraints.
Experience building or working with Real-Time and/or low-latency systems.
Experience with video processing or streaming – familiarity with RTSP, FFmpeg, live video pipelines, or similar media infrastructure.
Experience integrating AI/ML model outputs into production systems – understanding how models interface with real-world applications.
frontend knowledge in React and TypeScript – comfortable shipping small but complete UI features independently.
Experience shipping and maintaining production systems with real users and high reliability requirements.
Strong Python backend development – APIs, async pipelines, clean architecture, and system design.
Deep understanding of backend architecture: service boundaries, data flow, scalability patterns, and building systems that operate reliably under real-world constraints.
Experience building or working with Real-Time and/or low-latency systems.
Experience with video processing or streaming – familiarity with RTSP, FFmpeg, live video pipelines, or similar media infrastructure.
Experience integrating AI/ML model outputs into production systems – understanding how models interface with real-world applications.
frontend knowledge in React and TypeScript – comfortable shipping small but complete UI features independently.
Experience shipping and maintaining production systems with real users and high reliability requirements.
This position is open to all candidates.
