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.

This is not just DevOps this is AI infrastructure client-facing impact technical leadership.

• Location: Remote Poland
• Compensation: PLN/ year
• Job Type: Full-Time
• Key Areas: AI GenAI MLOps Azure Consulting

Why This Role

• 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

What Youll Do

• 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

Tech Stack

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

What Were Looking For

• 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

Compensation & Benefits

• PLNannually

• 110 trainings Udemy access

• Strong internal growth opportunities

• Workation 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

Ideal Candidate Profile

• 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...