Principal 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 Principal 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:

• Architect and lead the implementation of new agentic AI workflow features for Red Hat AI products such as Red Hat OpenShift AI and Red Hat Enterprise Linux AI.

• Innovate in the LLMOps and agentic AI domain by contributing meaningfully to upstream communities such as Llama Stack.

• 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.

• Provide technical vision and leadership on high impact projects

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

• Represent Red Hat AI in external engagements including industry events, customer meetings, and open source communities.

• Mentor, influence, and coach a globally distributed team of engineers.

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

What you will bring:

• 7 years of advanced experience in software engineering, with a focus on AI and machine learning.

• Experience with LLMs, AI applications using LLMs and RAG. 

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

• Advanced experience in programming languages such as Python or Go.

• Advanced experience with Kubernetes, OpenShift, RHEL or other cloud-native platforms.

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.

• Experience with open source software development and community engagement is highly desirable.

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The salary range for this position is $148,540.00 - $245,050.00. 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 ar