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Nanny - Overnight Nanny In Orleans
Job in
Montréal, Province de Québec, H2B, Canada
Listed on 2026-10-31
Listing for:
CanadianNanny.ca
Full Time
position Listed on 2026-10-31
Job specializations:
-
Software Development
AI Engineer (Applied/Software), AWS, Machine Learning/ ML Engineer, Cloud Engineer - Software
Job Description & How to Apply Below
We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production‑grade machine learning applications.
Key Responsibilities
Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering .
Develop and orchestrate multi-agent systems using Lang Graph and Lang Chain .
Deploy AI solutions across secure cloud environments such as AWS Gov Cloud, Google Gov Cloud, Azure IL5+, Vertex AI, and AWS Bedrock .
Build robust ETL and data pipelines , metadata catalogs, and ontologies for AI training and inference.
Develop and maintain REST APIs and SDK integrations .
Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
Follow modern secure coding, Dev Ops, and CI/CD practices.
Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required
Skills & Qualifications
Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
Hands‑on production experience with LLMs, RAG, and prompt engineering .
Experience with multi-agent orchestration , tool use, Lang Graph, and Lang Chain.
Strong knowledge of cloud AI services, including AWS Gov Cloud, Google Gov Cloud, Azure IL5+, Vertex AI, and AWS Bedrock .
Experience building data pipelines, ETL processes, metadata catalogs, and ontologies .
Strong understanding of secure coding and CI/CD practices .
Excellent written and verbal communication skills.
Preferred Qualifications
Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise .
Knowledge of MCP, metadata catalog platforms, and advanced API development .
Experience working in government, regulated, or security-sensitive cloud environments .
Familiarity with relevant compliance and security standards.
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