AI DevOps Engineer, REMOTE WARSAW

• 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