Senior Software Engineer - AI

About the Job :
The Digital workforce team is part of Red Hats Data and AI organization. The team is focused on building and delivering strategic AI agents designed to augment human capabilities, accelerate workflows, and scale operations across the enterprise. In this role, you will work as a member of a highly dynamic, and fast-paced team. As part of the development team, youll need to be creative, motivated, and proficient in architecting and designing cutting-edge applications that leverage Generative AI. You will work closely with different teams, stakeholders, product owners, and program managers to design, document, and develop solutions. We are seeking talented engineers to spearhead the technology and design of key components within Red Hat's Digital Workforce, shaping the future of digital agents. The ideal candidate will possess strong technical abilities, a commitment to quality and open source, a drive for innovation, excellent communication and teamwork skills, and will excel in a dynamic, startup-like setting. 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 - 7 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