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 containerized solutions using Docker and Kubernetes. Your day-to-day responsibilities include building LLM-powered agentic components, participating in code reviews, and engaging in Agile ceremonies. 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, Flask, or Spring Boot, as well as an understanding of machine learning fundamentals and modern LLM-based agent architectures, is essential. This role involves working on cutting-edge AI systems that require reliability, monitoring, and performance evaluation, making it ideal for those passionate about turning research ideas into production-quality software in a fast-paced environment.
SONiC-NOS
Wireshark
Python
C++
Linux
GDB
IXIA
Spirent
High Speed Serdes
MAC ports
PRBS
ANLT analyzers
L2 switching
networking protocols
Cisco Silicon One