Middle AI Engineer (AI Patch Backporting)

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.