Red hat Principal Software Engineer - Llama Stack 

Ireland, Cork 

524043451

What you will do:

• 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.

What you will bring:

• 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.

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

• Bachelor's degree in computer science or related discipline.