Senior Backend Engineer (LLM/LiveKit)

BS/MS in Computer Science, Information Technology, or related field. 5+ years of experience in backend or full-stack software engineering. Strong experience with Python and backend service development. Hands-on expertise with real-time systems (LiveKit, WebRTC, or similar streaming tech). Experience with low-latency, AI-integrated environments. Proficiency in scaling services in distributed, production-grade environments. Solid background with AWS (EC2, ECS, Lambda) and Kubernetes. Skilled in performance optimization, debugging, and observability tools. Familiarity with Docker and CI/CD tools. Experience deploying AI models in production or supporting AI/ML engineers. Knowledge of LangChain, LangFuse, Ray, or LLMOps frameworks. Excellent communication skills in English (C1 preferred, strong B2 may be considered).

Design and implement backend services in Python supporting real-time communication with LiveKit and WebSockets. Develop tools and systems to support scalable AI deployment and monitoring. Ensure system performance and reliability on AWS using EC2, Lambda, and Kubernetes. Collaborate with AI teams to streamline model deployment and live testing. Support high-stability, low-latency, multi-user environments. Improve platform observability and debugging through robust logging and metrics. Take ownership of technical decisions and process improvements across multiple projects.