About the job
Red Hat’s Global Engineering team is looking for a Senior Software Engineer to join the Agentic and AI Engineering Tools team. In this role, you’ll contribute directly to Red Hat’s rapidly growing AI/ML family of products and will be responsible for the design, development, and refinement of software adding features that enable agents to achieve enterprise readiness.
Responsibilities
Architect and develop a platform for Agentic AI applications.
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 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.
Qualifications
Minimum
7+ years of intermediate to advanced Python development experience
Experience with building agents, agentic workflows, or developing with LLMs
Knowledge of Kubernetes/OpenShift and operational knowledge building/deploying containers.
Experience creating automation for GitHub, using GitHub Actions or related continuous integration tools.
Knowledge designing robust and scalable software used in highly scaled and performant Distributed Systems
Experience developing, deploying or maintaining On-prem or Cloud Infrastructure
Preferred
Experience with AI and Machine Learning platforms, tools, and frameworks, such as MLflow, Llama Stack, LangChain, PyTorch, LLaMA.cpp, vLLM, LangGraph, and Kubeflow.
Experience with open source projects.
Experience with Security, Observability, Performance or Scale.
Understanding of DevOps methodology, scrum, and/or Jira.