Senior AI DevOps Engineer | LLM Deployment & Cloud (Azure)

Remote | Poland PLN 384,000 – 412,800 / year ( PLN 32,000 – 34,400 monthly) AI | MLOps | Azure | GenAI Snapshot Join a leading data & AI consultancy delivering enterprise-grade AI/ML/GenAI solutions across industries, with a strong focus on forecasting, analytics, and AI transformation . This role sits at the intersection of AI engineering + DevOps , leading the deployment and scaling of LLMs/SLMs in production environments . This is not generic DevOps — this is AI infrastructure at scale, with real business impact . Ideal Candidate Profile Has deployed LLMs/SLMs in real production environments (not just APIs) Thinks in systems, automation, and scalability Strong balance of: Cloud engineering AI system deployment Comfortable mentoring and working cross-functionally What You'll Do Architect and deploy AI/ML/GenAI systems at scale (LLMs/SLMs) Build and automate: Infrastructure (IaC) Model lifecycle pipelines Inference workflows Design secure, scalable cloud environments (Azure) Own CI/CD pipelines for AI workloads Optimize cost, performance, and monitoring Act as technical advisor to stakeholders and teams Mentor engineers and drive engineering standards Tech Stack Azure, Kubernetes Terraform, Ansible Python, Bash / PowerShell CI/CD (Azure DevOps, GitHub Actions, Jenkins) Linux, macOS What We're Looking For 5+ years in DevOps / Cloud Engineering Proven experience with: AI/ML/GenAI projects Deploying LLMs/SLMs in production Strong Azure expertise (non-negotiable) Advanced scripting (Python + Bash/PowerShell) Deep knowledge of: IaC (Terraform / Ansible) CI/CD pipelines Experience with Kubernetes & scalable systems Bonus: Azure certifications Client-facing / advisory experience Mentoring or leadership experience Cost optimization in AI workloads Compensation & Benefits PLN 384,000 – 412,800 annually Access to 110+ trainings & Udemy Career growth with internal promotions (76% managers promoted internally) Workation policy + flexible work model Inclusive, diverse, and collaborative culture Location & Eligibility Remote within Poland Must be based in Poland Must have valid work authorization No visa sponsorship Why This Role Work on end-to-end AI/ML/GenAI systems (not isolated pipelines) Lead deployment of LLMs/SLMs in production environments Combine cloud architecture + automation + AI engineering Mentor engineers and shape best practices in AI DevOps Join a stable yet innovation-driven environment with strong learning culture If you're ready to move beyond traditional DevOps and build AI systems that scale securely in production — this is your opportunity to lead that transformation. Apply now...