Senior Software Engineer - Llama Stack (Ireland)

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. The ideal candidate will have a proven background in developing and testing 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. What you will do: 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. What you will bring: 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. The following will be considered a plus: Experience with Security, Observability, Performance or Scale Experience working with Kubernetes/OpenShift and containers. Knowledge and interest in developing tools and solutions using RAG or Agentic workflows Understanding of DevOps methodology, scrum, and/or Jira. Knowledge with hardware accelerators, such as CUDA and ROCm 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 ... (truncated, view full listing at source)