Nuclear Promise X

Intermediate AI Developer

Nuclear Promise X

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Salary

💰 CA$130,000 - CA$160,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AzureCloudJavaScriptNode.jsPythonTypeScript

About the role

  • Design and develop AI-powered solutions using Microsoft Azure services, including OpenAI, Cognitive Search, Vision, Document Intelligence, and Cosmos DB for vector storage
  • Build and iterate on retrieval-augmented generation (RAG) pipelines and knowledge-grounded architectures, including GraphRAG and emerging techniques like OmniRAG
  • Rapidly prototype AI applications tailored to specific client needs, such as document digitization, data vectorization, and content generation workflows
  • Contribute to the architecture and implementation of advanced AI systems, including agent-based orchestration and integration with modern APIs and platforms
  • Prepare and structure training data, including labeled inputs for both text and image-based models, with a focus on production readiness and model performance
  • Evaluate and adopt new tools and frameworks based on AI/ML advancements, ensuring that implementations are stable and scalable
  • Collaborate across teams to deliver high-impact, cloud-native applications using Python (especially Azure's AI SDK). Exposure to JavaScript/TypeScript or Node.js is considered an asset
  • Apply familiarity with engineering documentation and visuals (e.g., diagrams, schematics) to enhance AI-driven workflows
  • Support NPX's mission to streamline nuclear workflows and deliver insights that support critical decision-making
  • Occasional travel may be required for this position

Requirements

  • 4-7 years of relevant experience in software or AI/ML development
  • Strong hands-on experience with Microsoft Azure AI services, including OpenAI, AI Search, Vision, Document Intelligence, and Cosmos DB
  • Proven ability to develop and deploy retrieval-based AI solutions using RAG pipelines, knowledge graphs, and related architectures
  • Demonstrated skill in rapidly building and iterating AI prototypes based on client requirements
  • Strong Python development skills, with experience using Azure’s AI SDK
  • Experience designing and implementing AI solution architectures, including agent-based systems and orchestration tools
  • Awareness of current and emerging AI/ML research, with the ability to assess production readiness
  • Exposure to front-end or full-stack development (JavaScript/TypeScript, Node.js) is an asset
  • Familiarity with engineering or technical documentation (e.g., schematics, diagrams) is considered an asset
  • Ability to independently structure and label data for AI training pipelines