Closed listing
AI Platform Engineer with DevOps
- Halifax, NS, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Experience
- · 2+ years of development experience in one of the following languages: Java, Python, Javascript/TypeScript, C#, C/C++, Python
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Role: AI Platform Engineer with DevOps Experience - DevOps, Docker (Software), GitHub, GitHub Actions, Information Technology (IT) Infrastructure, Kubernetes, Programming Languages, Red Hat Ansible,Software Product Design, Software Product Technical Knowledge, Software GenAI, LLM
Location: Halifax, NS- Hybrid (4 Days WFO)
What will you do?
· Develop value-add services which integrate with the existing DevOps stack
· Develop CICD pipelines using GitHub Actions, TypeScript, Python, Groovy and Jenkins
· Coach application teams on how to leverage DevOps offerings
· Champion developer-experience and best practices in conjunction with DevOps to ensure no developer is left behind
· Participate in new tool adoption, POC process and provide recommendations
· Evolve DevOps services beyond current state for application teams
What do you need to succeed?
Must-have:
· An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive
· 2+ years of development experience in one of the following languages: Java, Python, Javascript/TypeScript, C#, C/C++, Python
· Experience with application and system design patterns
· Experience with Docker or Kubernetes
· Experience with Agile methodologies, ie SCRUM
- 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, and governance.
- Build reusable AI services including:
· Prompt Management Frameworks
· Retrieval Augmented Generation (RAG) architectures
· Embedding and Vector Search Services
· AI Gateway and Inference APIs
· Agentic AI Orchestration Frameworks
Nice-to-have:
· Experience with Elastic Search and Kibana
· Experience using DevOps CICD tools such as GitHub, GitHub Actions, Jenkins, UrbanCodeDeploy
· Experience with a public cloud technology, i.e. Azure, AWS
· Experience building or supporting distributed applications
More about this job
Responsibilities
Design, build, and operate enterprise AI/GenAI platforms while developing scalable LLMOps and MLOps frameworks. You will also develop CI/CD pipelines and coach application teams on leveraging DevOps offerings.
Requirements
Requires 2+ years of development experience in languages like Python or Java and experience with Docker or Kubernetes. Candidates must have an engineer mindset with SDLC experience and strong analytical skills.
Skills
- DevOps
- Docker
- Kubernetes
- GitHub Actions
- Python
- TypeScript
- Java
- GenAI
- LLM
- MLOps
- LLMOps
- RAG
- Ansible
- Agile
- Jenkins
- Cloud Computing
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Engineering
- Data & Analytics
- Consulting
Keywords
- AI Platform Engineer
- DevOps
- Docker
- Kubernetes
- GitHub Actions
- TypeScript
- Python
- Groovy
- Jenkins
- GenAI
- LLM
- LLMOps
- MLOps
- RAG
- Prompt Management
- Embedding
- Vector Search
- Inference APIs
- Agentic AI
- Agile
- SCRUM
- SDLC
- Java
- C++
- C#
- Elastic Search
- Kibana
- Azure
- AWS
- Infrastructure