Software Engineer

Job Summary:

Red Hat is the world’s leading provider of enterprise open source solutions, including AI, high-performing Linux, cloud, container, and Kubernetes technologies. Our Red Hat AI Engineering team continues to enhance our platform and partner ecosystem to provide the latest predictive and generative AI capabilities to help customers accelerate their AI adoption.

We are seeking a talented Software Engineer with a passion for agentic AI workflows and Retrieval-Augmented Generation (RAG) to join our Red Hat AI Engineering team. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities that allow users to push the boundaries of autonomous agents. The role is primarily an individual contributor who collaborates closely with other engineers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate Red Hat, open-source, and partner technologies into a cohesive platform.

What you will do:

• Contribute to the design, development, and testing of new agentic AI workflow features for Red Hat AI products such as Red Hat OpenShift AI and Red Hat Enterprise Linux AI.

• Contribute to open source communities, such as LLama Stack, sharing knowledge and best practices.

• Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements.

• Ensure non-functional requirements including security, resiliency, and maintainability are met.

• Participate in technical design discussions and provide innovative solutions to complex problems.

• Stay updated on the latest advancements in AI and apply this knowledge to improve our products.

What you will bring:

• 2 years of experience developing applications in Go or Python, or other languages.

• Experience in Kubernetes, OpenShift, RHEL or other cloud-native technologies.

• Ability to quickly learn and use new tools and technologies.

• Experience with source code management tools such as Git.

• Good system understanding and troubleshooting capabilities.

The following will be considered a plus:

• While a Bachelor’s degree or higher in computer science or a related discipline is valued, we prioritize practical experience and technical prowess.

• Understanding of how Open Source and Free Software communities work.

• Experience with LLama Stack and foundation models.

• Experience working with or deploying LLMOps platforms.

• Understanding of agentic AI, RAG, autonomous systems, and related technologies.

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The salary range for this position is $94,550.00 - $151,170.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. 

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Benefits
●    Comprehensive medical, dental, and vision coverage
●    Flexible Spending Account - hea