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

• Remote | Poland
• PLN 288,000 – 316,800 / year
• AI | GenAI | MLOps | Azure
  

Snapshot

Join a leading data & AI consultancy delivering enterprise-grade AI/ML/GenAI solutions, with a strong focus on forecasting, analytics, and AI transformation.

This role sits at the intersection of AI engineering + DevOps leadership, driving the deployment and scaling of LLMs/SLMs in production environments.

This is not traditional DevOps — this is owning AI infrastructure, automation, and delivery at scale.

Ideal Candidate Profile

• Has deployed LLMs/SLMs from scratch (not just API usage)
• Thinks in systems, automation, and scalability
• Comfortable with:
• Leadership
• Stakeholder communication
• Mentoring engineers
  
• Strong balance of hands-on + strategic thinking
  
  

What You'll Do

• Lead architecture and deployment of AI/ML/GenAI systems (LLMs/SLMs)
• Build and automate:
• Infrastructure (IaC)
• Model lifecycle pipelines
• Inference workflows
  
• Design secure, scalable Azure-based environments
• Own CI/CD pipelines for AI workloads
• Drive cost optimization, monitoring, and compliance
• Mentor engineers and elevate AI DevOps best practices
• Act as technical advisor to stakeholders and clients
  
  

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 hands-on experience:
• AI/ML/GenAI systems
• Deploying LLMs/SLMs in production (non-negotiable)
  
• Strong Azure expertise
• Advanced scripting (Python + Bash/PowerShell)
• Deep knowledge of:
• IaC (Terraform / Ansible)
• CI/CD pipelines
  
• Experience with Kubernetes & scalable systems
  
  

Bonus:

• Azure certifications
• Consulting / client-facing experience
• Mentoring or leadership experience
• Cost optimization in AI workloads
  

Compensation & Benefits

• PLN 288,000 – 316,800 annually
• 110+ trainings + Udemy access
• Strong internal mobility (76% of managers promoted internally)
• Workation policy + flexible work model
• Inclusive, DEI-driven culture
  

Location & Eligibility

Remote within Poland

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

Why This Role

• Lead end-to-end AI/ML/GenAI deployments (LLMs/SLMs in production)
• Combine cloud architecture + automation + AI systems
• Act as a technical advisor and mentor across teams
• Work in a stable yet innovation-driven environment
• Strong learning culture with structured upskilling and internal mobility
  

If you're ready to lead the deployment of real-world AI systems — combining cloud, automation, and LLM infrastructure at scale — this is where you define the next generation of AI engineering. Apply now...