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Prompt Engineer Jobs in Toronto, ON (NOW HIRING)

Alquemy

Full Stack Engineer

Toronto, ON

Experience with LLM application development, including AI agents, RAG, prompt engineering, and tool/function calling. Experience with LangChain, LangGraph, or similar LLM orchestration frameworks.

Manulife

AI Engineer - Hybrid

Toronto, ON · Hybrid

AI Engineer Job Posting Description The AI Engineer will join the AI team supporting the Long-Term ... Implement GenAI and LLM-based solutions, including retrieval-augmented generation, prompt ...

Ci

Senior AI Engineer

Toronto, ON · On-site

CA$69K - CA$119K/yr

Deep understanding of prompt engineering, RAG, fine-tuning, and evaluation of generative output, includingtradeoffsacross approaches. * Proficiencyin Python and ML/AI libraries (e.g., Scikit-learn ...

Okta

AI Trainer

Toronto, ON · Hybrid

Implementing prompt engineering best practices. * Ensuring the agent provides accurate, efficient, and on-brand support. * Managing the bot's tone and ethical guardrails to prevent hallucination and ...

Charger Logistics Inc

AI Engineer

Brampton, ON · On-site

Implement LLM integration layers-prompt engineering, function calling, structured output parsing, and model routing for domain accuracy. * Collaborate with cross-functional teams to collect ...

Omers

Lead, AI/Machine Learning Engineer

Toronto, ON · On-site

Hands-on experience with LLMs, including OpenAI, Anthropic, and open-source models; prompt ... Strong software engineering practices, including Git, code reviews, automated testing, and CI/CD ...

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

Familiarity with prompt engineering, embeddings, RAG, tool calling, and structured outputs. * Experience working with APIs, Git, databases, and standard software engineering practices. * Ability to ...

BIMM

Senior Agentic Developer (Contract)

Toronto, ON · Remote

Own the prompt engineering lifecycle for assigned tools and skills, including version-controlled templates, structured inputs, clear role separation, and reproducible testing. * Contribute to BIMM ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Toronto, ON

Prompt Engineer information

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are popular job titles related to Prompt Engineer jobs in Toronto, ON?

For Prompt Engineer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Toronto, ON look for?

The top searched job categories for Prompt Engineer jobs in Toronto, ON are:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 7% Internship, 68% Full Time, 6% Part Time, and 19% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Full Stack Engineer

Alquemy

Toronto, ON

Full-time

Re-posted 6 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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