Senior AI DevOps / LLMOps

At TechBiz Global , we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking an Senior AI DevOps / LLMOps specialist to join one of our clients ' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you.

Key Responsibilities

Automation of Build-to-Production Design and implement robust CI/CD pipelines tailored for AI, covering model weights, dataset versioning, and application code.

Develop specialized workflows for PromptOps, ensuring that system prompts are version-controlled, tested for regressions, and deployed with the same rigor as traditional code. Automate the deployment of Agentic workflows, managing the complexities of stateful AI interactions and multi-agent handoffs. 2.

AI Infrastructure as Code (IaC) Provision and manage high-performance compute environments (GPU clusters, TPU pods) using Terraform, Pulumi, or Ansible. Define and enforce Policy-as-Code for AI endpoints to ensure compliance with security, cost-usage limits, and data residency requirements.

Maintain a consistent environment across Hybrid Infrastructure, ensuring seamless parity between On-Premises development and Cloud production. 3.

Safe Experimentation & Controlled Releases Architect Progressive Delivery strategies for AI, including Canary releases, Blue-Green deployments, and Shadowing (where new models run in parallel with production to compare outputs).

Build “Evaluation-in-the-Loop” gates within the pipeline to automatically test for bias, hallucination, and performance degradation before a release. Implement A/B testing frameworks specifically designed for LLM outputs and agentic behavior. 4.

Monitoring & Observability Establish deep observability into Inference Endpoints, tracking metrics like tokens-per- second, latency, and drift in model accuracy. Integrate feedback loops that capture production “edge cases” to feed back into the training and fine-tuning pipelines.