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What you will do:
Architect, lead, and contribute to the design and implementation of AI workflows
Take ownership of small, cross-functional projects from inception to completion.
Implement, deploy, optimize, and otherwise improve Agentic Workflows running on OpenShift
Work with upstream AI/ML communities to evaluate new AI/ML-related technologies from partners and the integrations between their technology and that of Red Hat
Collaborate with partners to leverage our combined technologies in order to solve difficult technical and business problems
What you will bring:
7+ years of work experience as a Software Engineer
Demonstrated experience as a technical leader/team leader, working with cross functional teams.
Experience in development in Python
Experience with containers and OpenShift or Kubernetes
Experience with vector databases and retrieval-augmented generation (RAG).
Experience and knowledge of AI frameworks (LangChain) and libraries (e.g. TensorFlow, PyTorch, Kueue, KubeRay, KubeFlow, Feast etc)
Experience with AI and MLOps tools and Concepts, including Automation, GitOps, pipelines, models, etc. for managing the AI/ML lifecycle in production environments
Interest in learning new technologies; problem-solving skills.
The following are considered a plus:
Familiarity with model parallelization, quantization, and memory optimization using vLLM, DeepSpeed, OpenVino and other inference libraries
Cloud Computing experience using at least one of the following Cloud infrastructures AWS, GCP, Azure & IBM Cloud
Previous code contributions to or participation in open source projects or code samples on GitHub.
Previous code contributions to or participation in open source projects or code samples on GitHub.
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