Principal Software Engineer

Description:

At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

Red Hat’s Global Engineering team is looking for a Principal Software Engineer to join the Agentic and AI Engineering Tools team to develop new APIs, tooling, and providers in the upstream Llama Stack project. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML family of products and will be responsible for the design, development, and refinement of software that enables the creation and deployment of generative AI models.

The ideal candidate will have a proven background in developing robust and scalable Python solutions within an AI/ML context. As part of your responsibilities, you will need to adhere to coding best practices and standards, including well-documented, and efficient code; building and implementing upstream unit and E2E automated tests, maintaining updated code documentation and comments, following security best practices, participating in code reviews and other peer review in upstream projects, and staying up-to-date with software engineering technologies, frameworks, and methodologies.

Primary Job Responsibilities
 

• Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.
• Create robust AI/ML software tools to enable AI Application development and contribute to a healthy open source community.
• Develop and implement comprehensive unit, integration, and end-to-end tests to guarantee the reliability and performance in the upstream project, maintaining CI/CD workflows in GitHub, and ensuring downstream quality.
• Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback, identify potential bugs, security vulnerabilities, and adherence to coding standards, contributing to a more thorough and efficient review process.
• Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.
• Create and maintain clear, concise upstream technical documentation including API references and user guides and collaborating with our internal tech writers to create robust downstream documentation.
• Evaluate and integrate the latest advancements in AI/ML technologies and toolkits to improve existing systems and develop new innovative solutions.
   

Required Skills
 

• 10 years of advanced Python development experience as a Software Engineer in Open Source communities with experience in AI/ML
• Advanced knowledge designing robust and scalable APIs used in highly scaled and performant Distributed Systems
• Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
• Advanced knowledge creating automation for GitHub, using GitHub Actions or related continuous integration tools.
• Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
• Advanced knowledge developing unit, functional, and end-to-end (E2E) test cases and automation.
• Ability to quickly learn and use new tools and technologies.