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Red Hat

Software Engineer – AutoML, AutoRAG

Red Hat

. Develop solutions for automated training/optimization of AI & ML artifacts .

Posted 5/22/2026full-timeRemote • CzechiaJuniorMid-LevelWebsite

Tech Stack

Tools & technologies
CloudKubernetesOpenShiftPython

About the role

Key responsibilities & impact
  • Develop solutions for automated training/optimization of AI & ML artifacts
  • Collaborate with Staff Engineers, Engineering, Product Management, and User Experience to define customer needs and use cases
  • Collaborate with Quality Engineers to develop and implement comprehensive unit, integration, and end-to-end tests to guarantee the reliability and performance
  • Participate in AI-assisted code reviews, utilizing tools that provide real-time feedback
  • Proactively utilize AI-assisted development tools for code generation, auto-completion, and intelligent suggestions
  • Create and maintain clear, concise upstream technical documentation including API references and user guides

Requirements

What you’ll need
  • 2 to 4 years of advanced Python development experience
  • Experience with building AI & ML solutions, with focus on optimization
  • Knowledge designing robust and scalable software
  • Experience with building agents, agentic workflows, or developing with LLMs
  • Knowledge of Kubernetes/OpenShift and operational knowledge building/deploying containers
  • Experience creating automation using various continuous integration tools
  • Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
  • Knowledge developing unit, functional, and end-to-end (E2E) test cases and automation

Benefits

Comp & perks
  • Flexible working hours
  • Professional development opportunities

ATS Keywords

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Hard Skills & Tools
PythonAI solutionsML solutionssoftware designKubernetesOpenShiftcontainerizationcontinuous integrationunit testingend-to-end testing
Soft Skills
collaborationcommunicationproblem-solvingdocumentation