What will you 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 will you bring?

• Strong experience in a software engineering role
• Bachelor's degree in Computer Science, Computer Engineering or related field
• 5 + 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 to 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

#LI-EK1

#AIHiring

Red Hat will not be providing visa sponsorship for this position. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The salary range for this position is $136,320.00 - $225,090.00. Actual offer will be based on your qualifications.

Pay Transparency

Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat's compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.

Benefits
• Comprehensive medical, dental, and vision coverage
• Flexible Spending Account - healthcare and dependent care
• Health Savings Account - high deductible medical plan
• Retirement 401(k) with employer match
• Paid time off and holidays
• Paid parental leave plans for all new parents
• Leave benefits including disability, paid family medical leave, and paid military leave
• Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.