AI Platform Engineer - DevOps
- Halifax, NS
- On-site
- Posted Oct 3, 2026
- 1 position
Opens an external site
- Employment type
- Full-time
- Experience level
- Mid-level · 2+ years
- Apply by
- Mar 30, 2027
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
- Application method
- Direct apply is available
Job summary
Develop and deliver production-ready AI platform capabilities, including LLM deployment, monitoring, versioning, evaluation, and governance. Support AI services such as prompt management, retrieval-augmented generation, embeddings and vector search, inference APIs, and agentic AI.
Job details
2+ years development experience in Java, Python, JavaScript/TypeScript, C#, or C/C++ Strong SDLC, analytical, communication, ownership, and production delivery skills Application/system design patterns Docker/Kubernetes and Agile/Scrum Enterprise AI/GenAI, LLM, LLMOps/MLOps platform experience Experience with LLM deployment, monitoring, versioning, evaluation, and governance AI services: Prompt Management, RAG, Embeddings/Vector Search, AI Gateway/Inference APIs, Agentic AI
What you’ll do
Develop and deliver production-ready AI platform capabilities, including LLM deployment, monitoring, versioning, evaluation, and governance. Support AI services such as prompt management, retrieval-augmented generation, embeddings and vector search, inference APIs, and agentic AI.
Requirements
Requires at least two years of development experience in one or more of Java, Python, JavaScript/TypeScript, C#, or C/C++. Candidates should have experience with SDLC, application and system design patterns, Docker/Kubernetes, Agile/Scrum, and enterprise AI or LLMOps/MLOps platforms.
Listed skills
- Kubernetes · Preferred
- Docker · Preferred
- Scrum · Preferred
- Communication · Preferred
- JavaScript · Preferred
- Agile · Preferred
- TypeScript · Preferred
- Java · Preferred
- C++ · Preferred
- Python · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Java
- Python
- JavaScript
- TypeScript
- C#
- C/C++
- Software Development Life Cycle
- Analytical Skills
- Communication
- Application Design Patterns
- Docker
- Kubernetes
- Agile
- Scrum
- Enterprise AI
- Generative AI
Job areas
- Technology
- Software
- Engineering
- Data & Analytics
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