Middle AI Engineer

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:

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:

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

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