Senior AI Engineer – AI Patch Backporting

2 days ago

🇬🇪 Georgia – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Logo of CloudLinux

CloudLinux

SaaS • Security • Web 3

CloudLinux is a leading provider of operating systems designed specifically for web hosting environments. The company offers a line of products including CloudLinux OS Legacy, CloudLinux OS Shared Pro, and CloudLinux OS Solo, each tailored to improve server stability, security, and performance. With features such as kernel live patching, advanced automation and monitoring tools, and specialized WordPress optimization, CloudLinux helps hosting companies maximize security and profitability while ensuring stable server environments. Over 4,000 companies trust CloudLinux to power millions of websites worldwide, benefitting from increased stability and reduced churn rates. The company emphasizes compatibility with major hosting control panels and CentOS, offering solutions for shared hosts, agencies, and small businesses.

51 - 200 employees

Founded 2009

☁️ SaaS

🔐 Security

🌐 Web 3

📋 Description

• Own key components such as the Patch Backporter library and benchmarking infrastructure. • Design cross-component solutions to previously unsolved problems in automated patching. • Integrate your solutions into our existing CI/CD and automation stack. • Identify bottlenecks and weak points in current workflows. • Propose and drive cross-component improvements end-to-end. • Design metrics, datasets, and evaluation flows to measure backporter performance. • Automate benchmarks in CI and make results stable and comparable over time. • Plan and implement how backporter updates propagate into the broader automation ecosystem. • Build Python tools, CLIs, small services, and helpers that make experiments faster and cheaper. • Work cross-functionally with other engineering teams to align on interfaces and integration points. • Write clear technical documentation, design docs, and experiment logs. • Mentor junior engineers and share knowledge on AI, infra, and tooling.

🎯 Requirements

• BSc or MSc in Computer Science, Engineering, or a related field. • 5+ years in software engineering as a developer, tech lead, or team lead. • Hands-on experience integrating LLMs in real projects (OpenAI, Anthropic, etc.). • Familiarity with common approaches such as RAG, CAG, agents, tool-calling, etc. • Strong Python skills, including asyncio / multithreading / multiprocessing concepts and usage. • Experience with database design and querying: PostgreSQL or another SQL database. • Experience supporting or operating services on Linux/Unix VMs. • Ability to take loosely defined problem statements and turn them into concrete plans.

🏖️ Benefits

• A focus on professional development. • Interesting and challenging projects. • Fully remote work with flexible working hours. • Paid 24 days of vacation per year. • 10 days of national holidays. • Unlimited sick leaves. • Compensation for private medical insurance. • Co-working and gym/sports reimbursement. • Budget for education. • Opportunity to receive a reward for the most innovative idea that the company can patent.

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