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Cloud Full Stack Engineer Jobs in Ontario (NOW HIRING)

Alquemy

Full Stack Engineer

Toronto, ON · On-site

Full Stack Engineer About the Role We are seeking an Full Stack Engineer to design, develop, deploy ... Experience with cloud-based LLM platforms (e.g., Azure OpenAI or equivalent). Familiarity with LLM ...

Machina Labs

Full Stack Engineer

Chatsworth, ON · On-site

CA$130K - CA$150K/yr

Machina Labs is seeking a Full Stack Engineer to join our software team and help build the systems ... Experience with cloud platforms such as Azure or AWS. * Familiarity with CI/CD tooling (e.g ...

Finlink Group

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... Experience working with a public cloud platform, with Azure preferred, including cloud compute ...

Finlink Group

Staff Full-Stack Engineer - .NET, React & AI Are you a highly experienced full-stack engineer who ... Experience working with a public cloud platform, with Azure preferred, including cloud compute ...

Alquemy

Full Stack Engineer

Toronto, ON · On-site

Full Stack Engineer Role Overview We are seeking an experienced Full Stack Developer with strong Java expertise to join a technology team focused on building and enhancing scalable, high-performance ...

Emterra Group

AI - Full Stack Engineer

Oakville, ON · On-site

$120K/yr

... AI SME / Full Stack Engineer to join our IT team. In this role, you will lead the design ... Architect and manage Azure cloud infrastructure including App Services, Azure Functions, Logic Apps ...

Canada Coaster

Full Stack Engineer

Dundas, ON · On-site

As Full Stack Engineer, you'll be reporting to the IT Manager, and be part of the IT team that is responsible for maintaining and extending current systems along with the development of new modules ...

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All JobsCloud Full Stack Engineer JobsCloud Full Stack Engineer Jobs in Ontario

Cloud Full Stack Engineer information

See Ontario salary details

$46K

$143.6K

$183.5K

How much do cloud full stack engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for cloud full stack engineer in Ontario is $143,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $170,000.00 per year, depending on experience, location, and employer.

What cities in Ontario are hiring for Cloud Full Stack Engineer jobs?

Cities in Ontario with the most Cloud Full Stack Engineer job openings:

Infographic showing various Cloud Full Stack Engineer job openings in Ontario as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $143,612 per year, or $69 per hour.

Full Stack Engineer

Toronto, ON • On-site

Alquemy
See more jobs at Alquemyexternal

Full-time

Re-posted 12 days ago

Job description

Job Description Full Stack Engineer About the Role We are seeking an Full Stack Engineer to design, develop, deploy, and support AI-powered applications using modern large language model (LLM) technologies. You will work as part of a collaborative DevOps team, delivering production-ready solutions while contributing to automation, continuous improvement, and operational excellence. Responsibilities Design, develop, test, deploy, and support AI applications throughout the software development lifecycle.

Build LLM-based solutions, including AI agents, Retrieval-Augmented Generation (RAG), and multi-step workflows. Develop and integrate RESTful APIs and backend services. Collaborate with cross-functional teams to deliver business requirements using iterative development.

Support production systems, troubleshoot issues, and contribute to continuous improvement. Identify and address technical debt while delivering new functionality. Write automated unit tests and contribute to CI/CD and DevOps practices.

Participate in code reviews, knowledge sharing, and team collaboration. Required Qualifications: 3+ years of software engineering experience. Strong Python development skills.

Experience with LLM application development, including AI agents, RAG, prompt engineering, and tool/function calling. Experience with LangChain, LangGraph, or similar LLM orchestration frameworks. Strong SQL skills and experience designing RESTful APIs.

Experience with cloud-based LLM platforms (e.g., Azure OpenAI or equivalent). Familiarity with LLM observability tools such as LangFuse or LangSmith. Strong analytical and problem-solving skills

Experience writing unit tests and supporting production applications. Preferred Qualifications Experience with Parquet, DuckDB, or other analytical databases. Familiarity with LiteLLM or multi-LLM routing frameworks.

Working knowledge of Java and Unix/Linux environments. Experience with CI/CD and Agile/DevOps practices.

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