Senior AI Engineer – RAG, LightRAG Framework Expert
SereneAid
AzurePostgresPython
Intermediate AI Developer
Nuclear Promise X
full-time
Posted on:
Location: 🇨🇦 Canada
Visit company websiteSalary
💰 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
