Senior Ai Developer / Generative Ai Engineer

Location:
Toronto, ON (Hybrid – 3 days onsite per week)
Required Skills & Qualifications
Strong hands‑on expertise in
Python and SQL, with experience in software engineering and developing production-ready AI applications and enterprise solutions.
Extensive experience developing
Generative AI (GenAI) applications, Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), and Agentic AI solutions .
Strong hands‑on experience with
Microsoft Azure AI Foundry (Microsoft Foundry), Azure Machine Learning (Azure ML), Azure OpenAI, and Azure AI Services
for enterprise AI solution development.
Proven experience designing and developing
AI Agents, intelligent automation solutions, reusable AI components, APIs, and AI-powered enterprise applications .
Strong understanding of
LLM architecture, Prompt Engineering, Context Engineering, Model Evaluation, and AI performance optimization .
Experience building and implementing
RAG pipelines, including integrating LLMs with enterprise data sources, knowledge bases, APIs, and business applications.
Strong technical foundation in
Machine Learning and Statistics, including Classification, Regression, Clustering, Feature Engineering, Model Training, Model Evaluation, and ML Pipelines.
Experience developing and integrating
REST APIs, enterprise applications, data platforms, and automated business workflows
using AI-powered solutions.
Hands‑on experience with
Databricks, Power Automate, VS Code, Git, and JIRA, supporting AI development, data integration, workflow automation, and software delivery.
Strong understanding of
Software Engineering Best Practices, including version control, testing, CI/CD, technical documentation, deployment, monitoring, and performance optimization.
Experience developing secure, scalable, and production-ready AI solutions while incorporating
Responsible AI, AI Governance, Data Privacy, Security, and Data Protection
principles.
Ability to collaborate with
Data Scientists, Data Engineers, Data Architects, Product Managers, and Business Stakeholders
to translate business requirements into practical AI solutions.
Additional Asset:
Previous experience delivering enterprise AI solutions or digital transformation initiatives within public sector organizations.
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