Software Engineer, Full-Stack ML Infrastructure

We’re looking for a full-stack engineer with focus on infrastructure to build the tools and systems that help Pramaana’s engineers and researchers develop, test, deploy, and operate their work more effectively.

Your initial focus will be DevOps and MLOps: improving development environments and deployment workflows, making experiments and evaluations reproducible, and helping teams understand the behavior, performance, and cost of AI systems. You’ll build across interfaces, backend services, and infrastructure automation—not just maintain scripts or configure dashboards.

This is an early-stage role with scope across the company. As needs evolve, your work will extend into shared capabilities such as identity and access, LLM gateways, API-key management, training and inference platform maintenance, usage metering, and internal applications. You’ll work directly with the people using these systems, turning recurring friction into reliable, self-serve tools.