CloudLinux is looking for a Senior AI Engineer to design and build AI-driven tools that automate patch backporting for Linux distributions and software languages. You will own key components like the Patch Backporter library and benchmarking infrastructure, and integrate solutions into our production CI/CD stack.
What You'll Do
- Lead development of the Patch Backporter library: design and evolve its architecture and abstractions, keep it clean, composable, and extendable.
- Design and lead major changes in patch backporting automation: identify bottlenecks, propose and drive cross-component improvements end-to-end.
- Own and evolve benchmarking and evaluation infrastructure: design metrics, datasets, and evaluation flows; automate benchmarks in CI.
- Integrate improvements into the existing automation stack: plan and implement how backporter updates propagate into the broader automation ecosystem; work with CI/CD, services, and databases.
- Accelerate iteration within the team: build Python tools, CLIs, small services, and helpers; improve local dev setups, test harnesses, and engineering processes.
- Collaborate and communicate: work cross-functionally with other engineering teams; write clear technical documentation, design docs, and experiment logs; mentor junior engineers.
What We're Looking For
- BSc or MSc in Computer Science, Engineering, or a related field.
- 5+ years in software engineering as a developer, tech lead, or team lead.
- Demonstrated ownership of complex systems or components.
- Hands-on experience integrating LLMs in real projects (OpenAI, Anthropic, etc.).
- Familiarity with common AI approaches such as RAG, CAG, agents, tool-calling.
- Strong Python skills, including asyncio/multithreading/multiprocessing concepts and usage.
- Experience with testing frameworks (pytest, unittest) and a solid testing culture.
- Experience with database design and querying: PostgreSQL or another SQL database; MongoDB or another NoSQL database.
- Experience with CI/CD tooling (Jenkins, GitLab CI, or similar), test automation, and containerization (Docker).
- Confident Linux CLI user.
- Experience supporting or operating services on Linux/Unix VMs.
- Willingness and desire to use AI development tools (e.g., Cursor) in day-to-day work.
- Ability to take loosely defined problem statements and turn them into concrete plans with minimal supervision.
- Strong written communication skills in English.
Nice to Have
- Published research or documented experimentation experience in any Computer Science topic.
- Experience formulating and testing hypotheses (e.g., comparing models, algorithms, or system designs).
- Data analysis skills: representing results via tables, plots, or dashboards; designing meaningful metrics for system performance and quality.
- Basic knowledge of the C language (able to read patches, understand diffs and build issues).
- Regular usage of AI engineering tools (Cursor, WindSurf, aider, Claude Code, etc.).
Technical Stack
- Python
- PostgreSQL, MongoDB
- Docker
- CI/CD (Jenkins, GitLab CI)
- LLMs (OpenAI, Anthropic)
Team & Environment
You will be part of the ELS Backporting Research team. You'll work closely with the team lead on priorities and problem framing, but are expected to be independent in technical design and implementation.
Benefits & Compensation
- A focus on professional development.
- Interesting and challenging projects.
- Fully remote work with flexible working hours, work from any location worldwide.
- 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.
Work Mode
This is a fully remote position with flexible hours, open to candidates in Europe and CIS regions.
CloudLinux is an equal opportunity employer.
