Overview
Red Hat is seeking a Senior Software Engineer to join the Global Engineering team, specifically the Agentic and AI Engineering Tools team, to increase testing coverage and quality of APIs, tooling, and providers in the upstream Llama Stack project. You will contribute to Red Hat’s AI/ML product family and be responsible for the design, development, and refinement of software that enables the creation and deployment of generative AI models.
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 reliability and performance in the upstream project, maintain CI/CD workflows in GitHub, and ensure 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.
* 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 upstream technical documentation including API references and user guides, collaborating with internal technical writers for 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 a focus on 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 CI tools.
* Experience with AI and ML platforms, tools, and frameworks such as LlamaStack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
* Experience developing, deploying, or maintaining on-premises 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 of hardware accelerators, such as CUDA and ROCm.
* Bachelor’s degree in computer science or a related discipline.
Remote
Remote means living elsewhere in Ireland.
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. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
Inclusion at Red Hat
Red Hat’s culture is built on transparency, collaboration, and inclusion, where the best ideas can come from anywhere. We strive for equal opportunity and celebrate diverse voices.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, disability, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes from recruitment agencies. We provide reasonable accommodations to applicants who need assistance with the online application process.
#J-18808-Ljbffr