Assembled, backed by $70M in funding, is seeking a Software Engineer for their AI Infrastructure team to build and operate core systems powering their Assist platform. This role focuses on scaling AI infrastructure for their rapidly growing platform that has reached $1M ARR in just 3 months. The position requires 6+ years of engineering experience and expertise in distributed systems and Kubernetes.
The role involves building foundational platform components for real-time LLM usage at scale, working with technologies like AWS, Kubernetes, and various LLM integrations. Key responsibilities include managing agent service reliability, developing prompt and embedding storage systems, implementing security measures, and creating AI-powered developer tools.
This is an ideal opportunity for someone passionate about AI infrastructure who wants to make a significant impact. The position offers comprehensive benefits including medical coverage, unlimited PTO, 401(k), and a hybrid work environment with daily catered lunches in their NY office. The team works cross-functionally with AI, security, and product engineering teams, making it perfect for those who enjoy collaborative, fast-paced environments.
The successful candidate will be instrumental in scaling Assist's infrastructure to meet enterprise customer demands, working with cutting-edge AI technologies, and building systems that enable fast, reliable, and secure AI operations. This high-ownership role offers the chance to shape the infrastructure backbone of Assembled's AI products while working with modern technologies like Go, Python, and various LLM platforms.