The Data And AI  team is a  highly focused effort to lead digital-first execution and transformation at Red Hat leveraging data strategically for our customers, partners, and associates. The engineering team is focused on building and delivering strategic AI agents built on our Data & AI platform, designed to augment human capabilities, accelerate business workflows, and scale operations across the enterprise.

We are looking for strong engineers, who can lead the technology and design of significant parts of RedHat’s Data And AI Platform for creating next generation AI MCP Servers & Agents. The successful candidate will have a track record of strong technical skills, drive to be innovative & creative, excellent communication and collaboration skills, thrive in a startup like environment, a keen attention to detail, and a passion for quality and open source software. If you enjoy broadening your technical skills, and working in an environment that thrives on creativity, experimentation, and community innovation, then we are the TEAM for you!

What you will do

• Architect, design, document, and develop applications in Python and frameworks like LangChain, LangGraph, LLamaStack.
• Architect and lead the implementation of Agentic AI applications.
• Architect and lead the implementation of scalable open-source solutions with distributed computing capabilities using Machine Learning models, running on OpenShift AI
• Architect and design new features with RAG, RAFT, GraphRAG, InstructLab, and their pipelines
• Develop and optimize retrieval-augmented generation (RAG) pipelines 
• Collaborate with product owners, program managers, different teams, and engineering managers to analyze and clarify business requirements to implement data models and business logic
• Mentor, influence, and coach a distributed team of engineers
• Effectively communicate to stakeholders and project team members to ensure proper visibility of development efforts
• Review code merge requests from other team members for new features
• Build and deploy applications to Red Hat OpenShift Platform-as-a-Service (PaaS), public clouds, i.e., Google Cloud Platform, AWS, etc.
• Ensure non-functional requirements, including performance, scalability, resiliency, maintainability, security, etc., are met according to defined standards
• Resolve bugs, performance problems, and other issues with production applications

What you will bring

• Strong experience in a software engineering role
• 10+ years of professional coding, at least a year using Python
• Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team
• Problem-solving and troubleshooting skills including performing root cause analysis
• Understanding of web application infrastructure and fundamentals like REST and HTTP
• Understanding of public cloud concepts and development practices
• Knowledge of Distributed Systems
• Experience with LangGraph, LangChain, Autogen and/or Python/Java-based AI libraries for GenAI applications
• Experience with continuous delivery (CD) like build and deploy pipelines like Jenkins, Platform-as-a-Service (PaaS) like OpenShift/Kubernetes
• Presentations skills and public speaking skills for conferences and demos
• Enjoys solving challenging problems and working with emerging technologies

The following are considered a plus:

• Experience with AI Agentic frameworks
• Experience with MCP servers
• Experience working with LLMs
• Experience in building Chatbots with Slack

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

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