Senior AI Developer / Generative AI Engineer

ThoughtStorm; Toronto; Hybrid; CAD 120,000 - 180,000; Full time

Job summary

ThoughtStorm Inc. in Toronto, ON is seeking a senior AI engineer to design and deliver production-ready GenAI applications and enterprise AI solutions.

You will collaborate with Data Scientists, Engineers and Business stakeholders to translate requirements into scalable AI systems. You will implement LLM architectures, RAG pipelines, and AI governance, apply responsible AI practices, and build robust REST APIs, data platforms, and automation workflows using Azure AI tooling and Databricks.

Qualifications

• Strong hands-on expertise in Python and SQL for production-ready AI applications.
• Extensive experience developing GenAI applications, LLMs, RAG, and Agentic AI solutions.
• Experience using Azure AI Foundry, Azure ML, Azure OpenAI, and Azure AI Services for enterprise AI development.
• Proven ability to design AI agents, intelligent automation, reusable AI components, APIs, and AI-powered enterprise apps.
• Deep understanding of LLM architecture, Prompt/Context Engineering, evaluation, and performance optimization.
• Experience building RAG pipelines integrating LLMs with enterprise data sources, APIs and business apps.
• Solid background in ML and statistics including model training/evaluation and ML pipelines.
• Experience developing REST APIs, data platforms, and AI-enabled enterprise workflows.
• Hands-on with Databricks, Power Automate, VS Code, Git, and JIRA for AI development and delivery.
• Strong grasp of Software Engineering best practices: CI/CD, testing, docs, deployment, monitoring, and optimization.
• Experience delivering secure, compliant AI solutions with Responsible AI, governance, privacy, and data protection.
• Ability to collaborate with Data Scientists/Engineers Architects, Product Managers, and stakeholders to translate requirements into AI solutions.

Skills

Python

SQL

GenAI applications

LLMs

RAG

Agentic AI

Azure AI Foundry

Azure ML

Azure OpenAI

AI governance

Data privacy

Security

Production-ready AI

REST APIs

Databricks

Power Automate

VS Code

Git

JIRA

Tools

Databricks

Power Automate

VS Code

Git

JIRA

Job description

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.