Posted 7 days ago
Senior AI Developer / Generative AI Engineer
@ ThoughtStorm
Toronto, Ontario
Overview
ThoughtStorm is hiring a Senior AI Developer / Generative AI Engineer on a contract basis in Toronto, ON, on a hybrid schedule with 3 days onsite per week. The role builds production-ready GenAI, LLM, RAG and agentic AI solutions integrated with enterprise data and workflows, and the posting asks for Azure AI experience and strong Python and SQL skills.
Responsibilities:
- Design and build GenAI, LLM and agentic AI solutions
- Develop RAG pipelines integrating LLMs with enterprise data
- Build REST APIs and AI-powered workflow automations
- Deploy, monitor and optimize production AI applications
- Collaborate with data, product and business teams
Requirements summary:
- Expert Python and SQL with production software engineering experience
- Extensive GenAI, LLM, RAG and agentic AI development experience
- Hands-on Microsoft Azure AI, Azure ML and Azure OpenAI experience
- Strong machine learning and statistics foundations
- Experience with Databricks, Power Automate, Git and JIRA
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-03
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Software development |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
ThoughtStorm
| Field | Value |
|---|---|
| Open jobs on Jobsy | 5 |
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.
Journal
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