Job Summary
Red Hat’s Global Engineering team is looking for a Senior Software Engineer to join the Agentic and AI Engineering Tools team to increase testing coverage and quality of 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.
Responsibilities
* Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases.
* 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.
* Create robust AI/ML software tools to enable AI Application development and contribute to a healthy open source community.
* 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.
Requirements
* 7 years of advanced Python development experience as a Software Engineer in Open Source communities with focus in DevOps or CI and experience in AI/ML
* Advanced knowledge developing unit, functional, and end-to-end (E2E) test cases and automation.
* Advanced knowledge designing and exercising robust and scalable APIs used in highly scaled and performant Distributed Systems
* Advanced knowledge creating automation for GitHub, using GitHub Actions or related continuous integration tools.
* Experience with AI and Machine Learning platforms, tools, and frameworks, such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
* Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
* Ability to quickly learn and use new tools and technologies.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
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