Hybrid Principal Software Engineer – AI

at Red Hat

• Job title: Principal Software Engineer – AI
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Cloud, Distributed Systems, Google Cloud Platform, Java, Jenkins, Kubernetes, OpenShift, Python
• Location requirements: Hybrid, Bangalore, India

About the role

• Principal Software Engineer focusing on architecting and developing AI applications within Red Hat's Digital Workforce team. Collaborating across teams and mentoring engineers to drive innovation.

Responsibilities

• 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

Requirements

• 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

Benefits

• Flexible work arrangements
• Professional development opportunities
• Remote work options