Middle Python Developer - AI Patch Backporting (remote-only, Europe & CIS) job opportunity at CloudLinux.

Home Jobs In Albania Tag: Europe & CIS) Middle Python Developer - AI Patch Backporting (remote-only, Europe & CIS) position at CloudLinux


Date2026-01-13T14:59:37.300Z bot
CloudLinux Middle Python Developer - AI Patch Backporting (remote-only, Europe & CIS)
Experience: 3-years
Pattern: Full-time
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Europe & CIS)

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loacation Tiranë, Albania
loacation Tiranë....Albania

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 help us build reliable tools, pipelines, metrics and services around our AI Agent and ensure smooth production integration of our AI-powered service. 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 building and refining software, building infrastructure and services for accelerating research and providing introspection into what happens in real-world production solutions. Key Responsibilities Engineering & Integration Building and owning evaluation metrics, automating them in CI; Designing and implementing internal tooling for AI agent evaluation analysis and experiment comparison; Building automation and infrastructure to empower agents with build, test, and run tools across a variety of projects; Implementing research findings and integrating them into production systems. Enablement & Acceleration Developing and improving evaluation pipelines to accelerate the iteration speed at which the team improves AI agents; Shipping production-quality Python tools, CLIs, pipelines, and services to make experiments faster and more cost-effective. Collaboration & Communication Documenting work for future adoption and reuse; Sharing updates and improvements in evaluation infrastructure with the team; Collaborating with other teams to onboard additional customers onto existing benchmarking infrastructure. 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 be successful in this role, you should bring the following experience and skills: Bachelor’s or Master’s degree in Computer Science , Engineering , or a related discipline ; At least 3 years of professional experience as a software developer ; A minimum of 3 years of hands-on experience with Python in production environments ; Proven experience taking technical ownership of projects , from design through delivery ; Practical experience with CI/CD pipelines and modern development workflows ; Hands-on experience with containerization technologies , particularly Docker ; Experience designing and maintaining automated test suites . Nice to have The following qualifications are not required but would be considered a strong advantage: Familiarity with AI-assisted engineering tools (e.g., Cursor, Windsurf, Aider); Experience integrating large language models via APIs (e.g., OpenAI, Anthropic); Familiarity with modern AI system patterns such as RAG , CAG , and agent-based architectures ; Research experience or hands-on experimentation in applied AI or related fields ; Data analysis skills , including building metrics and evaluation frameworks ; Basic working knowledge of the C programming language .

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