About the job
Rockstar is on the hunt for a talented Backend Software Engineer to join a rapidly expanding startup that is pioneering the AI infrastructure for the next generation of smart products. This innovative company specializes in providing AI startups with the tools to design, fine-tune, evaluate, deploy, and maintain their specialized models across various domains like text, vision, and embeddings. Think of them as the 'AWS for AI models'—offering a comprehensive backend solution for fine-tuning, reinforcement learning, inference, and ongoing model maintenance. Their clientele includes Series A to C AI companies that are developing enterprise-grade products, with a simple promise: to enhance your AI systems.
As a Backend Software Engineer focusing on ML Infrastructure, you will play a pivotal role in designing, building, and scaling the essential systems that facilitate extensive model training and deployment.
Your responsibilities will include developing distributed training pipelines, establishing cloud-native infrastructure, and creating internal developer platforms that support fine-tuning, reinforcement learning, and inference at scale. This position uniquely combines backend engineering with machine learning systems, allowing you to work closely with ML engineers while taking ownership of production-grade infrastructure.
This role is a fantastic opportunity for an early-career engineer eager to dive into real distributed systems, GPU workloads, and cutting-edge ML infrastructure—far removed from simple dashboards or CRUD applications.
