About the role
Mirendil Mirendil is a tech-first company focused on solving core bottlenecks that unlock step-change acceleration across science and technology. Our first goal is to democratize frontier AI R&D across scientific disciplines. We believe accelerating scientific discovery is one of the most powerful ways to improve the future of humanity, and that AI will play a central role in making that possible. We are building a frontier AI research company and training our own models end-to-end. Our work spans areas such as model training, reinforcement learning, reasoning systems, and infrastructure for large-scale experiments. Our team includes researchers and engineers from Anthropic, Google DeepMind, xAI, OpenAI, Microsoft, Apple, and MIT.
The Role We are looking for an Platform Engineer to build the core systems to power Mirendil’s AI platform for researchers and agents alike. You'll own the infrastructure layer that governs access, data, and resourcing across our product surfaces. Some example areas you might work on: Design and implement identity systems for organizations and agents Develop platform API infrastructure including usage-based tracking, billing integrations, seat provisioning Implement data retention policies, audit logging, and compliance controls that satisfy
requirements for life sciences and other regulated industries Implement security and workload isolation policies across the platform on top of large-scale storage and compute If you're excited about building the platform layer that makes powerful AI research infrastructure accessible and governable at scale, we'd love to hear from you. We offer a base salary of $350,000–$500,000 and a meaningful equity grant, depending on experience and background, along with competitive
benefits.
