R&D Engineer - AI Patch Backporting

Summary

Join CloudLinux's Backporting Research Team as a versatile R&D Engineer, focusing on AI-powered patch backporting for Endless Lifecycle Support (ELS). This hybrid role blends creative problem-solving with strong software engineering skills. You will research, prototype, and implement solutions to automate patch management and vulnerability mitigation. The ideal candidate enjoys experimentation and integrating research findings into real-world applications. You'll collaborate with engineering teams, share research results, and contribute to process optimization. This position offers a highly collaborative environment where innovation and impact are valued.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• 3+ years of experience as a developer or engineering lead
• Strong 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
• Proven ability to start projects from scratch (DevOps, setup, architecture)
• Experience collaborating across teams

Responsibilities

• Research & Innovation
• Ideate and validate improvements to our AI-powered patch backporter
• Propose and test enhancements to boost backporting success on existing benchmarks
• Run lightweight experiments to assess feasibility and value of new approaches
• Engineering & Integration
• Implement research findings and integrate them into the production system
• Collaborate with engineering teams to ensure smooth handover of solutions
• Maintain and enhance existing codebases, tooling, and workflows
• Enablement & Acceleration
• Improve research velocity through automation, tool development, and process optimization
• Develop internal guidelines or best practices to streamline iteration
• Collaboration & Communication
• Share research results and technical insights with internal stakeholders
• Work cross-functionally with engineers, researchers, and DevOps
• Document your work for future adoption and reuse

Preferred Qualifications

• PhD in AI/ML or related discipline
• 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)

Benefits

• A focus on professional development
• Interesting and challenging projects
• Fully remote work with flexible working hours, that allows you to schedule your day and work from any location worldwide
• Paid 24 days of vacation per year, 10 days of national holidays, and unlimited sick leaves
• Compensation for private medical insurance
• Co-working and gym/sports reimbursement
• Budget for education
• The opportunity to receive a reward for the most innovative idea that the company can patent