As a Junior Backend Engineer on the AI Systems team, you will contribute to the full software development lifecycle by designing, implementing, testing, and deploying Python-based backend services and LLM-powered agentic components. Your day-to-day responsibilities include developing containerized services with Docker and Kubernetes, participating in code reviews and design discussions, and integrating machine learning models into production systems. You should have strong Python skills, familiarity with Java for high-performance applications, and basic knowledge of Docker and Kubernetes. Additionally, experience with Git, FastAPI or Flask, PyTorch, vector databases, and CI/CD pipelines is essential. This role involves working on cutting-edge AI technologies to build scalable backend services that support complex LLM-based agent architectures, focusing on reliability, monitoring, and performance evaluation in a fast-paced Agile environment.