Senior AI DevOps Engineer

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.

• 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

• 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

• Azure, Kubernetes
• Terraform, Ansible
• Python, Bash / PowerShell
• CI/CD (Azure DevOps, GitHub Actions, Jenkins)
• Linux, macOS

• 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

• 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

• Must be based in Poland
• Must have valid work authorization
• No visa sponsorship

• 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...