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Middle AI Engineer - AI Patch Backporting (remote, Europe) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Middle AI Engineer - AI Patch Backporting. in . Europe. .. In this role, you will work at the forefront of AI-driven software maintenance, focusing on automating patch backporting for legacy systems and unsupported software. You will explore innovative approaches, rapidly prototype solutions, and integrate successful experiments into production-ready systems. Collaborating with a highly skilled, remote-first team, your work will directly impact large-scale infrastructure security and operational efficiency. The environment encourages creativity, experimentation, and hands-on problem solving, giving you the opportunity to shape both research outcomes and engineering practices. This role blends research, software engineering, and automation to deliver tangible improvements in patch management workflows.. . Accountabilities:. Conduct research to turn problem statements and hypotheses into concrete experiment plans, selecting methods, tools, and metrics.. Run lightweight experiments to evaluate feasibility and the potential value of new approaches.. Implement research findings and integrate them into production systems, ensuring reliability and maintainability.. Build, automate, and maintain evaluation metrics within CI pipelines to monitor experiment outcomes.. Develop production-quality Python tools, CLIs, and small services that accelerate experimentation and deployment.. Document experiments, decisions, and results to enable knowledge sharing and future adoption across the team.. Collaborate with cross-functional teams to accelerate innovation and support large-scale infrastructure projects.. . 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 with experience building production-ready tools and services.. Hands-on experience integrating large language models (LLMs) via APIs such as OpenAI or Anthropic.. Familiarity with RAG, CAG, and agent-based approaches.. Basic infrastructure knowledge, including CI/CD pipelines, containerization (Docker), and testing automation.. Strong problem-solving skills, creativity, and the ability to translate research into practical engineering solutions.. Nice-to-Haves:. Published research or prior experimentation experience.. Data analysis skills and experience designing evaluation metrics.. Basic knowledge of the C programming language.. Familiarity with AI engineering tools such as Cursor, WindSurf, or Aider.. . Company Location: Georgia.