Consultant AI DevOps Engineer

Snapshot

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

This role combines hands-on engineering + consulting mindset, focusing on deploying LLMs/SLMs in production, building scalable infrastructure, and advising stakeholders.

• Location: Remote | Poland
• Compensation: PLN 230,400 – 249,600 / year
• Job Type: Full-Time
• Key Areas: AI | GenAI | MLOps | Azure | Consulting

• Work on real AI/GenAI deployments (LLMs/SLMs in production)
• Combine engineering + advisory (consulting exposure)
• Influence architecture, delivery, and client outcomes
• Join a structured environment with strong learning & growth paths
• Be part of a collaborative, inclusive engineering culture

• Design and deploy AI/ML/GenAI systems at scale
• Lead infrastructure and automation for:
• Model lifecycle
• Inference pipelines
• Build secure, scalable Azure environments
• Own CI/CD pipelines for AI workloads
• Optimize performance, cost, and monitoring
• Act as technical advisor to stakeholders and clients
• Mentor engineers and contribute to best practices

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

• 5+ years in DevOps / Cloud Engineering
• Proven experience:
• AI/ML/GenAI systems
• Deploying LLMs/SLMs in production
• Strong Azure expertise (key requirement)
• Advanced scripting (Python + Bash/PowerShell)
• Deep knowledge of:
• IaC (Terraform / Ansible)
• CI/CD pipelines
• Experience with Kubernetes & scalable systems

Bonus:

• Consulting / client-facing experience
• Mentoring / leadership exposure
• Multi-cloud experience (AWS / GCP)
• Azure certifications

• PLN 230,400 – 249,600 annually
• 110+ trainings + Udemy access
• Strong internal growth opportunities
• Workation + flexible work model
• Inclusive, DEI-driven culture

Location & Eligibility

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

• Has deployed LLMs/SLMs in production (not just API usage)
• Strong in Azure + automation + infrastructure design
• Comfortable in:
• Client-facing environments
• Advisory roles
• Balances hands-on engineering + communication skills

If you want to combine hands-on engineering with real client impact — building and scaling AI systems that go beyond experimentation — this is where you step into the AI DevOps consulting role. Apply now...