➡️ Apply here: Middle AI Engineer – AI Patch Backporting
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**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 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.
**Requirements**
**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)
**Benefits**
**What’s in it for you?**
* A strong focus on professional development with opportunities for learning and growth:
* Interesting and challenging projects,
* Mentor and other knowledge-exchange programs;
* 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 to ensure you maintain a healthy work-life balance;
* Compensation for private medical insurance;
* Co-working and gym/sports reimbursement;
* The opportunity to receive a reward for the most innovative idea that the company can patent, fostering a culture of creativity and innovation
*By applying for this position, you consent to the processing of your personal data as described in our Privacy Policy (https://cloudlinux.com/candidate-privacy-notice), which provides detailed information on how we maintain and handle your data.*