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...