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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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