AI DevOps Engineer

• 5+ years in DevOps/Cloud Engineering with AI/ML/GenAI project experience.
• Proven experience deploying LLMs/SLMs (model serving, inference optimization, RAG, GenAI apps).
• Expert proficiency in Linux and macOS administration; Windows a plus.
• Advanced Python and scripting (Bash/PowerShell) for automation and integration.
• Deep knowledge of IaC (Terraform, Ansible) and CI/CD (Azure DevOps, GitHub Actions, Jenkins).
• Strong expertise in Azure cloud, Kubernetes, and enterprise AI/ML platforms.
• Track record in delivering secure, production-ready solutions for AI/ML/GenAI.
• Familiarity with monitoring, observability and FinOps practices.
• Excellent leadership, communication and mentoring skills.
• Fluency in written and spoken English.

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office.
• Workation.  Enjoy working from inspiring locations in line with our workation policy.
• Great Place to Work® certified employer.
• Flexibility regarding working hours and your preferred form of contract.
• Comprehensive online onboarding program with a “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemy   learning platform from day 1.
• Certificate training programs. Lingarians earn 500+ technology certificates yearly.
• Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
• Grow as we grow as a company. 76% of our managers are internal promotions.
• A diverse, inclusive, and values-driven community.
• Autonomy to choose the way you work. We trust your ideas.
• Create our community together. Refer your friends to receive bonuses.
• Activities to support your  well-being and health.
• Plenty of opportunities to donate to charities and support the environment.
• Modern office equipment. Purchased for you or available to borrow, depending on your location.

,[The person will act as a senior member of the AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams., Leading architecture and deployment of AI/ML/GenAI solutions (LLM/SLM at scale)., Driving automation of infrastructure, model lifecycle and inference pipelines., Overseeing CI/CD processes for AI/ML/GenAI workloads., Designing secure, scalable cloud infrastructures (Azure-focused)., Acting as technical advisor for stakeholders and client-facing solution design., Mentoring engineers, promoting best practices, and fostering innovation in GenAI adoption., Coordinating cross-functional teams to align AI engineering with business outcomes., Ensuring cost optimization, monitoring and compliance across environments.] Requirements: Python, Azure, AI, GenAI, ML, LLM, SLM, Linux, macOS, Bash, PowerShell, IaC, Terraform, Ansible, CI/CD, Azure DevOps, GitHub Actions, Jenkins, Kubernetes, AI/ML , AWS, GCP