Medicusdata

Location: Europe (Remote or Hybrid)

Employment Type: Full-time (Permanent)

We are building real-time AI systems powered by GPU infrastructure and modern AI APIs. Our backend is primarily built with FastAPI and includes real-time communication using WebRTC and websockets.

We are looking for a senior engineer who enjoys working on technically demanding systems with strict latency requirements and production AI workloads.

Your Responsibilities

• Design, extend and maintain our FastAPI-based backend
• Optimize low-latency, real-time communication flows (WebRTC or similar)
• Deploy and manage AI workloads on GPU infrastructure
• Improve system reliability, observability and scalability
• Contribute to DevOps processes (Docker, cloud environments, onPrem)

Your Profile

• 5+ years of backend engineering experience
• Strong Python experience (FastAPI or similar frameworks)
• Experience with asynchronous systems and performance optimization
• Solid understanding of infrastructure and containerization (Docker)
• Experience with real-time or streaming systems (WebRTC, RTP, streaming pipelines, etc.)
• Ability to work independently and take responsibility for production systems

Nice to Have

• Experience deploying ML/AI models in production
• Experience with GPU-based inference environments
• Experience with distributed systems and scaling strategies

What We Offer

• High technical ownership in a focused engineering team
• Challenging real-time AI infrastructure problems
• Flexible remote setup within European time zones
• Long-term product vision

If you are motivated by building robust, low-latency AI systems and want meaningful architectural responsibility, we look forward to connecting.

We are looking for software engineers that know how to leverage AI tools to quickly deliver results, but have the knowledge and experience to keep code clean, functional and maintainable.

You must be located in either Germany or Switzerland to be considered for this role.