Senior AI DevOps & LLMOps Engineer (Hybrid Cloud)

TechBiz Global GmbH

Kraków

On-site

PLN 260,000 - 520,000

Full time

14 days+
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Job summary

TechBiz Global is seeking a Senior AI DevOps / LLMOps specialist to join one of our client teams in Kraków. You will design and implement AI-focused CI/CD, IaC, and MLOps pipelines to enable safe, scalable deployment of models and agents.

Responsibilities include building canary and blue-green strategies, policy-as-code, monitoring of inference endpoints, and ensuring security and compliance across hybrid cloud environments. The role demands 10+ years in DevOps and 2+ years in MLOps/LLMOps.

Qualifications

  • 10+ years in DevOps, SRE, or Cloud Engineering.
  • 2+ years in MLOps or LLMOps, moving LLMs to production.
  • Proven experience managing Hybrid Cloud environments (AWS/Azure + Private Data Center).

Responsibilities

  • Automate Build-to-Production for AI, including model weights, dataset versioning, and code.
  • Develop PromptOps workflows with version-controlled system prompts.
  • Automate deployment of Agentic workflows with stateful AI interactions and multi-agent handoffs.
  • Provide AI Infrastructure as Code with GPU clusters and Terraform/Pulumi/Ansible.
  • Define Policy-as-Code for endpoints ensuring security, cost usage limits, and data residency.
  • Maintain parity between On-Premises and Cloud environments.
  • Architect Progressive Delivery strategies (Canary, Blue-Green, Shadowing).
  • Build Evaluation-in-the-Loop gates to test bias, hallucination, and performance.
  • Implement A/B testing for LLM outputs and agentic behavior.
  • Establish deep observability into Inference Endpoints with latency, tokens/second, and drift.

Skills

Kubernetes
CI/CD
IaC
AI Tooling
GPU virtualization
Security & secret management
Hybrid cloud

Tools

Terraform
Pulumi
Ansible
GitHub Actions
GitLab CI
KubeFlow
Ray
NVIDIA Triton

Job description

TechBiz Global is seeking a Senior AI DevOps / LLMOps specialist to join one of our client teams in Kraków. You will design and implement AI-focused CI/CD, IaC, and MLOps pipelines to enable safe, scalable deployment of models and agents.

Responsibilities include building canary and blue-green strategies, policy-as-code, monitoring of inference endpoints, and ensuring security and compliance across hybrid cloud environments. The role demands 10+ years in DevOps and 2+ years in MLOps/LLMOps.

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