Red hat Technical Support Engineer – Identity Management 

United States, North Carolina, Raleigh 

563359189

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

• 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 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

Personal qualities and communication:

• Communicate and influence for impact by bringing data to life via clear narratives and/or storytelling

• Communication skills and experience in interacting with cross functional business and engineering teams

• Capability in undertaking business needs analysis in direct consultation.

• Be a self-starter, displaying initiative in seeing needs, building functionality and leading insights for organizational change.

• Capability to develop a detailed understanding of our business requirements.

• Excellent communication, presentation, and writing skills