Posted 16 days ago
AI Platform Engineer with DevOps Experience
@ Astra North Infoteck Inc.
Halifax, Nova Scotia
Overview
Astra North Infoteck Inc. is hiring an AI Platform Engineer to build and run enterprise AI/GenAI platforms for large language models and AI applications, and to develop CI/CD and DevOps services for application teams. The work covers model deployment, monitoring, versioning, evaluation and governance, plus coaching teams on DevOps practices. The posting requires strong DevOps, CI/CD, and LLMOps/MLOps experience.
Responsibilities:
- Build CI/CD pipelines and DevOps services
- Design and operate enterprise AI/GenAI platforms
- Develop LLMOps and MLOps frameworks
- Coach application teams on DevOps practices
- Build reusable AI services
Requirements summary:
- Strong software engineering across the SDLC
- Development in Java, Python, JavaScript/TypeScript, C# or C/C++
- Experience with Docker or Kubernetes
- Experience with GitHub Actions and Jenkins
- Knowledge of AI/GenAI platforms, LLMOps and MLOps
- Agile methodologies including Scrum
Tools & skills
Source and dates
Source type not verified · zoho
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-10-22
- Source record updated
- 2026-10-22
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Astra North Infoteck Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 426 |
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
- GitHub Actions
- 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
- Model deployment
- Build reusable AI services.
Must-Have Skills
- Strong engineering capabilities across the SDLC and production-class delivery.
- Strong analytical, communication, ownership, and problem-solving skills.
- Development experience in one or more of:
- Java
- Python
- JavaScript / TypeScript
- C#
- C / C++
- Java
- 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.
Journal
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