About the job Consultant AI DevOps Engineer | LLM Deployment & Azure
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 230,400 – 249,600 / year
- Job Type: Full-Time
- Key Areas: AI | GenAI | MLOps | Azure | Consulting
Why This Role
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Work on real AI/GenAI deployments (LLMs/SLMs in production)
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Combine engineering + advisory (consulting exposure)
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Influence architecture, delivery, and client outcomes
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Join a structured environment with strong learning & growth paths
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Be part of a collaborative, inclusive engineering culture
What You'll Do
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Design and deploy AI/ML/GenAI systems at scale
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Lead infrastructure and automation for:
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Model lifecycle
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Inference pipelines
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Build secure, scalable Azure environments
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Own CI/CD pipelines for AI workloads
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Optimize performance, cost, and monitoring
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Act as technical advisor to stakeholders and clients
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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 We're Looking For
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5+ years in DevOps / Cloud Engineering
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Proven experience:
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AI/ML/GenAI systems
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Deploying LLMs/SLMs in production
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Strong Azure expertise (key requirement)
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Advanced scripting (Python + Bash/PowerShell)
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Deep knowledge of:
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IaC (Terraform / Ansible)
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CI/CD pipelines
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Experience with Kubernetes & scalable systems
Bonus:
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Consulting / client-facing experience
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Mentoring / leadership exposure
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Multi-cloud experience (AWS / GCP)
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Azure certifications
Compensation & Benefits
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PLN 230,400 – 249,600 annually
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110+ trainings + Udemy access
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Strong internal growth opportunities
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Workation + flexible work model
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Inclusive, DEI-driven culture
Location & Eligibility
Remote within Poland
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Must be based in Poland
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Must have valid work authorization
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No visa sponsorship
Ideal Candidate Profile
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Has deployed LLMs/SLMs in production (not just API usage)
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Strong in Azure + automation + infrastructure design
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Comfortable in:
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Client-facing environments
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Advisory roles
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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...