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Lead AI DevOps Engineer

Poland · Job Posted January 05, 2026
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Job Description

Seeking a Lead AI DevOps Engineer to oversee design and delivery of advanced AI/ML/GenAI solutions. The role combines cloud engineering and automation with hands-on leadership in deploying and integrating LLM/SLM models into enterprise applications, ensuring security, scalability, and operational excellence. The person will act as a senior member of the Data Science & AI Competency Center, AI Engineering team, guiding delivery and coordinating workstreams.

Job Responsibility

  • 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

  • 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
  • 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

Nice to have

Windows administration

What we offer

  • Stable employment
  • “Office as an option” model
  • Workation
  • 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
  • Upskilling support
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Social fund benefits for everyone
  • Plenty of opportunities to donate to charities and support the environment
  • Modern office equipment

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