AI Platform Engineer with DevOps Experience
- Halifax, NS, Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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.
More about this job
Responsibilities
Develop and evolve DevOps services, CI/CD pipelines, and reusable AI platform services, while coaching application teams and promoting developer experience and DevOps best practices. Design, build, and operate enterprise AI platforms and scalable LLMOps/MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.
Requirements
Requires strong engineering and production delivery experience across the software development lifecycle, along with CI/CD and DevOps expertise, including GitHub Actions and Jenkins. Candidates should have programming experience in one or more listed languages, knowledge of application and system design patterns, Docker or Kubernetes experience, Agile/Scrum experience, and familiarity with AI platforms, LLMOps, and MLOps.
Skills
- DevOps
- CI/CD
- GitHub Actions
- Jenkins
- TypeScript
- Python
- Groovy
- Java
- JavaScript
- C#
- C/C++
- Docker
- Kubernetes
- LLMOps
- MLOps
- Agile and Scrum
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
Keywords
- AI Platform
- Generative AI
- Large Language Models
- DevOps
- CI/CD
- LLMOps
- MLOps
- GitHub Actions
- Jenkins
- TypeScript
- Python
- Groovy
- Java
- JavaScript
- C#
- C/C++
- Docker
- Kubernetes
- Agile
- Scrum
- Production Delivery
- Application Design Patterns
- System Design Patterns
- Model Deployment
- Model Monitoring
- Model Versioning
- Model Evaluation
- AI Governance
- Developer Experience