Senior Principal Software Engineer

What will you do?

• Architect, design, document, and develop applications in Java, Python, and frameworks like Spring Boot, Quarkus, LangChain or other frameworks
• Architect and lead 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 using LangChain or other frameworks, and vector databases.
• Build and fine-tune LLMs and AI-driven applications with Python-based frameworks
• 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
• Work with quality engineers to ensure application quality and maintainability
• 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?

• 12+ years of professional Java and Python development experience
• Experience in building native microservices with Java and Python
• Solid object-oriented software development skills
• Understanding of web application infrastructure and fundamentals like REST and HTTP
• Understanding of public cloud concepts and development practices
• Experience with LangChain 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
• Software development life cycle skills; ability to use standard tools for development on Linux like Maven, Docker, and issue tracking systems like Jira
• Knowledge of SQL, NoSQL, and vector databases
• Knowledge of RAG, RAFT, GraphRAG for Generative AI use-cases.
• Knowledge of InstructLab
• Distributed source control experience like Git, including continuous integration (CI) workflows
• Excellent communication skills, solid written and verbal communication skills in English; ability to communicate effectively in a global team
• Ability to work unsupervised in a fast-paced environment, enthusiastic to learn on your own

The following are considered a plus:

• Passionate about applied innovation and creativity
• Motivated to help others solve problems
• Experience in building Chatbots with Slack, Google Chat, etc.
• Experience in fine-tuning and deploying LLMs on OpenShift AI
• Experience in Google Cloud Platform products like Cloud Build, Cloud Run, etc.
• Experience in creating architectural diagrams with different tools