AI Platform Engineer
- Halifax, NS, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Role: AI Platform Engineer
Location: Halifax, NS
Type: Fulltime
Job Description:
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.
Strong 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.
More about this job
Responsibilities
Develop and evolve DevOps services, CI/CD pipelines, and reusable AI services, while coaching application teams and promoting developer experience and DevOps best practices. Design, build, and operate enterprise AI/GenAI platforms for LLM-powered applications, including scalable frameworks for deployment, monitoring, versioning, evaluation, and governance.
Requirements
Requires strong engineering and production delivery capabilities, analytical and communication skills, and experience with application and system design, Docker or Kubernetes, Agile, CI/CD, and DevOps. Candidates should have development experience in at least one listed programming language and knowledge of AI/GenAI platforms, LLMOps, and MLOps.
Skills
- CI/CD
- DevOps
- GitHub Actions
- Jenkins
- TypeScript
- Python
- Groovy
- Java
- JavaScript
- C#
- C/C++
- Docker
- Kubernetes
- LLMOps
- MLOps
- Agile
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- AI Platform Engineering
- DevOps
- CI/CD
- GitHub Actions
- Jenkins
- TypeScript
- Python
- Groovy
- Java
- JavaScript
- C#
- C/C++
- Docker
- Kubernetes
- Agile
- Scrum
- AI/GenAI Platforms
- Large Language Models
- LLMOps
- MLOps
- Model Deployment
- Model Monitoring
- Model Versioning
- Model Evaluation
- AI Governance
- Application Design
- System Design
- Developer Experience
- Proofs of Concept
- Production-Class Delivery