AI Platform Engineer – DevOps, CI/CD, LLMOps & MLOps

What Will You Do?

- Develop value-add services that integrate with the existing DevOps stack.

- Develop CI/CD pipelines using:
- GitHub Actions

- TypeScript

- Python

- Groovy

- Jenkins

- Coach application teams on leveraging DevOps offerings.

- Champion developer experience and DevOps best practices.

- Participate in new tool adoption, POCs, and provide recommendations.

- Evolve DevOps 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





- Strong engineering capabilities across the SDLC and production-class delivery.

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

- Development experience in one or more of:
- Java

- Python

- JavaScript / TypeScript

- 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 DevOps practices.

- Experience with GitHub Actions and Jenkins.

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

📌 AI Platform Engineer with DevOps Experience (Halifax Regional Municipality)
🏢 Astra North Infoteck
📍 Halifax Regional Municipality