Red Hat’s Customer Experience & Engagement (CEE) team is looking for a Senior Software Engineer (AI/ML Backend developer) to join our Business Intelligence team.

A Senior Software Engineer for AI/ML Backend at Red Hat is primarily responsible for designing, developing, and deploying scalable AI platforms and applications using open source technologies like Kubernetes and Python. The role often involves working on the Red Hat Open Shift AI platform and contributing to upstream open-source communities.

This role may come into contact with confidential or sensitive customer information requiring special treatment in accordance with Red Hat policies and applicable privacy laws.

At Red Hat, our commitment to open source innovation extends beyond our products - it’s embedded in how we work and grow. Red Hatters embrace change – especially in our fast-moving technological landscape – and have a strong growth mindset. That's why we encourage our teams to proactively, thoughtfully, and ethically use AI to simplify their workflows, cut complexity, and boost efficiency. This empowers our associates to focus on higher-impact work, creating smart, more innovative solutions that solve our customers' most pressing challenges.

What you will do

• Platform Development: Design, architect, document, and lead the development of AI/ML platform components and agentic AI applications.

• Coding & Implementation: Implement and optimize cutting-edge AI/ML algorithms and production-quality code, primarily using Python and possibly Go, C, C, or Rust.

• AI-assisted development: Proactively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) for code generation, auto-completion, and intelligent suggestions to accelerate development cycles and enhance code quality.

• Open Source Contribution: Participate in and contribute to relevant upstream communities such as Kubeflow, vLLM, TGI, and Py Torch, ensuring technologies integrate well with Red Hat products.

• Deployment & Operations: Build and deploy container-based applications to platforms like Red Hat Open Shift, public clouds (AWS, GCP, Azure), leveraging CI/CD best practices and MLOps infrastructure.

• Collaboration & Mentorship: Work closely with research scientists, data scientists, product teams, and stakeholders. Mentor and guide junior engineers and share knowledge within the team.

• Innovation & Troubleshooting: Stay current with advancements in Generative AI and related technologies, conduct root cause analysis, and solve complex problems in a dynamic environment.

What you will bring:

• Experience: Typically requires 5 years of software development experience with a background in computer science or a related technical field.

• Programming Languages: Strong proficiency in Python is essential, with experience in frameworks like Lang Chain, Lang Graph, or Py Torch.

• Technologies:

• Containerization (Docker, Kubernetes).

• Red Hat Open Shift Platform-as-a-Service (PaaS).

• Public cloud platforms (AWS, Google Cloud Platform, Azure).

• CI/CD pipelines (Jenkins, GitLab).

• Model inference runtimes and optimization (vLLM, TGI).

• Understanding of web application infrastructure, REST, and HTTP.

• Soft Skills: Strong problem-solving abilities, excellent written and verbal English communication, and a passion for open-source software and collaboration

About Red Hat

Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40 countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.

Inclusion at Red Hat

Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.

Equal Opportunity Policy (EEO)

Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.

Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee.

Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistanceredhat.com. General inquiries, such as those regarding the status of a job application, will not receive a reply.