Job Description AI Platform Engineer – Dev

Ops, CI/CD, LLMOps & MLOps What Will You Do? Develop value-add services that integrate with the existing Dev

Ops stack.

Develop CI/CD pipelines using: Git

Hub Actions Type

Script Python Groovy Jenkins Coach application teams on leveraging Dev

Ops offerings.

Champion developer experience and Dev

Ops best practices.

Participate in recent tool adoption, POCs, and provide recommendations.

Evolve Dev

Ops services for application teams.

Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.

Develop scalable LLMOps and MLOps frameworks for: Model deployment Monitoring Versioning Evaluation Governance Build reusable AI services.





Must-Have Skills Robust engineering capabilities across the SDLC and production-class delivery.

Solid analytical, communication, ownership, and problem-solving skills.

Development experience in one or more of: Java Python Java

Script / Type

Script C# C / C++ Experience with application and system design patterns.

Experience with Docker or Kubernetes.

Experience with Agile methodologies, including Scrum.

Strong experience with CI/CD and Dev

Ops practices.

Experience with Git

Hub Actions and Jenkins.

Knowledge of AI/GenAI platforms, LLMOps, and MLOps.

Requirements Salesforce

📌 Ai Platform Engineer With Devops Experience Halifax Regional Municipality (Canada)
🏢 Astra North Infoteck
📍 Canada