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The role involves designing and productizing software for Red Hat's AI initiatives, integrating AI with hardware accelerators, and mentoring junior engineers.

The Senior Software Engineer will design and develop a platform for Agentic AI applications, collaborate with teams, write and maintain code documentation, and implement comprehensive tests for software deployment.

This role involves driving performance and scalability of distributed inference for LLMs, developing benchmarks, collaborating with engineering teams, and exploring AI technologies.

The Principal Machine Learning Engineer will develop optimization algorithms, enhance LLM deployments, and collaborate with research teams on model performance and compression.

Lead the architecture and implementation of AI tools for OpenShift, ensuring quality and working with teams. Engage with open-source communities to enhance capabilities and represent OpenShift AI externally.

Collaborate on automated test strategies, analyze code, develop testing frameworks, and work on integrations with AI software and upstream communities.

Lead the implementation of advanced NLP solutions, develop AI/ML applications, oversee model training and evaluation, and collaborate across teams.

In this role, you will lead the development and integration of AI algorithms, focusing on backend systems and tools for AI/ML workflows while mentoring junior engineers and collaborating with cross-functional teams.

The Senior Principal Software Engineer will lead AI/ML tooling development, define technical strategy, mentor teams, and drive community adoption of open-source tools.

As a Forward Deployed Engineer, you will deploy, optimize, and scale AI inference systems, collaborating directly with customers to enhance performance and solve infrastructure challenges on Kubernetes clusters.