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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 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
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
- 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)
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
Key Skills
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