Middle AI Engineer - AI Patch Backporting (remote-only, Europe)

CloudLinux is a global remote-first company. We are driven by our principles: do the right thing, employees first, we are remote first, and we deliver high volume, low-cost Linux infrastructure and security products that help companies to increase the efficiency of their operations. Every person on our team supports each other and does what we can to ensure we all are successful. We are truly a great place to work. Check out our website for more information: cloudlinux.com

Endless Lifecycle Support (ELS) enables organizations to continue securely using Linux distributions and software languages that have reached the end of life or no longer receive standard security support – delivering vulnerability patches for unsupported versions of of CentOS, Ubuntu, Debian, Oracle Linux, PHP, Python, Spring frameworks, Angular/AngularJS, Django, Flask. For more information, visit our website: tuxcare.com/endless-lifecycle-support

We're looking for a versatile R&D Engineer to join our team tackling the challenge of AI-powered patch backporting. This is a hybrid role combining creative problem-solving with strong software engineering skills. You'll explore uncharted territory, rapidly prototype ideas, and bring successful concepts into production-ready systems. Your work will directly influence the way we automate patch management and vulnerability mitigation across large-scale systems. This role is ideal for someone who enjoys experimenting, building, refining, and integrating research findings into real-world solutions.

Key Responsibilities:

• Research & Innovation:

• Turning problem statements & hypotheses into concrete experiment plans—you pick methods, tooling, and metrics;
• Running lightweight experiments to assess feasibility and value of new approaches.
• Engineering & Integration:
• Implementing research findings and integrating them into the production system;
• Building and owning evaluation metrics, automating them in CI, and keeping results comparable.
• Enablement & Acceleration:
• Shipping production-quality Python tools/CLIs and small services that make experiments faster and cheaper.
• Collaboration & Communication:
• Documenting your work for future adoption and reuse;
• Keeping crisp written logs of experiments, results, and decisions.

Why Join Us?

You’ll be working at the intersection of cutting-edge AI and critical software infrastructure. We offer a highly collaborative environment where engineers are empowered to innovate, own their work, and make a tangible impact.

To thrive in this role, you should have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field;
• 3+ years of experience as a developer or engineering lead;
• Proficiency in Python;
• Hands-on experience integrating LLMs (via APIs like OpenAI, Anthropic, etc.);
• Familiarity with RAG, CAG, and agent-based approaches;
• Basic infrastructure skills: CI/CD pipelines, containerization (Docker), testing automation.

Nice-to-Haves:

• Published research or experimentation experience;
• Data analysis skills and experience building metrics for evaluation;
• Basic knowledge of C language;
• Familiarity with AI engineering tools (e.g., Cursor, WindSurf, aider).