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.
What You Will Do
- Research, evaluate, and investigate emerging trends and standards in AI and related technologies.
- Design, document, and build proof-of-concept (POC) implementations for distributed inference and agent-based systems, ensuring they are operational and ready for the next phase.
- Work closely with other engineers, tech leads, and internal stakeholders. Contribute to and influence upstream open source projects, elevating the platform architecture and user experience.
- Present your findings and implementations to internal and external audiences, at conferences, and through blogs.
- Develop and adapt quickly to a modern AI technology stack, including vLLM, llm-d, Agentic AI, LLMs, PyTorch, and Kubernetes/OpenShift. Experience with Edge computing stacks like MLOps at the Edge is a plus.
- Design and deliver new features for platforms like Red Hat OpenShift AI using CI/CD best practices.
What You Will Bring
- 10+ years of total career experience
- 4+ years of experience in MLOps, DevOps, automation, and modern software deployment
- Practical experience with hosting and scaling LLMs
- Proven ability to work with Kubernetes and cloud infrastructures such as AWS, GCP, or Azure
- Hands-on programming experience with languages like Go, Python, or Rust
- Proficiency with modern development tools, including Git, Jenkins or GitHub Actions, and Terraform
- Experience with OpenTelemetry for observability
- A passion for working within open source communities
- Comfortable using Generative AI as a productivity enhancement tool
- A collaborative spirit and the ability to work effectively with a large, geographically diverse team