Jobs at Pragmatike

Define ML strategy and build production ML systems end-to-end (data pipelines, training, evaluation, inference). Own data strategy, integrate ML with product/backend, write production-quality code, and recruit and mentor the ML team while setting technical direction.

The Founding Fullstack Engineer will develop and ship end-to-end product features across frontend and backend, optimize user experience, and integrate AI capabilities while ensuring system performance and scalability in a fast-paced startup environment.

The Senior Engineer will build and operate production infrastructure across AWS, GCP, and Azure, focusing on scaling, reliability, and performance for AI systems.

The Senior Cloud Engineer will build and operate multicloud infrastructure across AWS, GCP, and Azure while optimizing performance and reliability for AI systems.

The Principal AI/ML Engineer will lead the design, implementation, and deployment of AI systems, mentor junior engineers, and ensure model performance and reliability in production environments.

Build and maintain high-quality user interfaces for complex AI products, optimizing performance and collaborating with cross-functional teams.

You will design, implement, and optimize NVIDIA CUDA kernels for AI systems, improve GPU memory pipelines, and profile workloads to enhance performance.

The Principal ML Ops Engineer will design, implement, and scale ML infrastructure, focusing on optimizing AI systems, collaborating with teams, and establishing best practices for ML Ops.