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Prompt Engineer Jobs in Toronto, ON (NOW HIRING)

Our engineering team operates with high autonomy and direct customer impact. We live by P.I.E ... Tune and improve agent behavior through prompt iteration, evals, and instrumentation that tells you ...

Understanding of modern GenAI application patterns, including RAG, evaluation frameworks, prompt engineering, AI observability, model lifecycle management, and agents or agent orchestration. Strong ...

... of prompt engineering, RAG, Human-in-the-Loop workflows, and AI orchestration Strong communication skills and experience working directly with business stakeholders If you're passionate about ...

New

Debug, optimize, and enhance GenAI applications using prompt engineering, reinforcement learning, fine-tuning, and software engineering best practices. Train and fine-tune large language models using ...

Fine-tune open-source and proprietary models (e.g., Clauda) using advanced optimization techniques like LoRA, QLoRA, and deep prompt engineering. * Build, scale, and maintain high-throughput LLM ...

Fine-tune open-source and proprietary models (e.g., Clauda) using advanced optimization techniques like LoRA, QLoRA, and deep prompt engineering. * Build, scale, and maintain high-throughput LLM ...

RQ11252 - Sr. AI Engineer

Toronto, ON · On-site

CA$90.18 - CA$108.22/hr

RQ11252 - Sr. AI Engineer 11-month contract (226 business days) - possible extension ONSITE 5 days ... Designs, develops and optimizes prompts, prompt templates, orchestration logic, retrieval ...

... prompt engineering or integrating AI services into production systems is a plus BS/MS degree (Computer Science or related field) The Canadian CAD base salary range for this full-time position is $70 ...

... prompt engineering or integrating AI services into production systems is a plus BS/MS degree (Computer Science or related field) The Canadian CAD base salary range for this full-time position is $70 ...

... prompt engineering or integrating AI services into production systems is a plus BS/MS degree (Computer Science or related field) The Canadian CAD base salary range for this full-time position is $70 ...

... prompt engineering or integrating AI services into production systems is a plus BS/MS degree (Computer Science or related field) The Canadian CAD base salary range for this full-time position is $70 ...

Support Gen AI platform engineering, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into production * Contribute to production ...

Showing results 41-60

Prompt Engineer information

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.

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.

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.

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 exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance.
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:
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Infographic showing various Prompt Engineer job openings in Toronto, ON as of August 2026, with employment types broken down into 4% Internship, 56% Full Time, 32% Part Time, and 8% Contract. Highlights an 68% In-person, and 32% Remote job distribution.

Lead Software Engineer, AI & Emerging Tech

CPP Investments

Toronto, ON

CA$163K - CA$255K/yr

Full-time

Retirement, PTO

Re-posted 29 days ago


Job description

Purpose.Performance. People.

Joining CPP Investments means joining one of the world's most admired and respected institutional investors to drive a single mandate: to deliver strong, sustainable returns for generations of Canadians.

With a long-term horizon and global reach, we deploy capital at scale across public and private markets. Our size, stability, and disciplined investment philosophy allow us to pursue complex opportunities and build enduring partnerships worldwide.

For our people, this means meaningful work with tangible impact, real opportunity, and collaboration with exceptional colleagues who value partnership and performance. Here,you'llcontribute to outcomes that matter alongside team members committed to excellence and shared success.

Role Summary:

As a Lead Engineer for AI & Emerging Tech, you will drive the design, development, and deployment of next-generation tech and AI-powered solutions that unlock business value across the organization. This is a hands-on, coding-intensive leadership role, where you will code, architect, pilot and build robust solutions, mentor engineers, and push the boundaries of what's possible with AI, AWS cloud, and emerging technologies.
You'll partner with cross-functional teams to identify high-impact use cases, lead agile engineering sprints, and ensure solutions are secure, scalable, and aligned with organizational goals. The ideal candidate is a senior engineer passionate about coding, with deep expertise in python, emerging tech, cloud infrastructure, and AI/ML -and thrives in a fast-paced, exploratory environment.

Accountabilities & Qualifications:

As a Lead Software Engineer, you will guide and participate in building and supporting value-add technology solutions and products end-to-end. You will also demonstrate leadership and drive engineering excellence within your team and influence the same across the Technology & Data department.

Accountabilities

  • Lead and actively contribute to the development of AI products, pilots and solutions, with a focus on clean, maintainable code using Python, React, and AWS tools.

  • Design, architect and build scalable Gen AI solutions, including LLM pipelines, Agentic, MCP, Graph/RAG architectures, and prompt-based applications and emerging tech.

  • Implement cloud-native solutions using AWS services such as EKS, Lambda, Fargate, Glue, and Athena.

  • Optimize performance of AI products, Drive continuous learning and experimentation with cutting-edge Gen AI methods, frameworks, APIs, and toolchains.

  • Work closely with product managers, data scientists, and domain experts to define technical solutions aligned with business needs.

  • Act as a subject matter expert (SME) on Gen AI technologies and help shape the organization's AI roadmap.

  • Own end-to-end delivery of Gen AI solutions. Manage timelines, deliverables, and project milestones using Agile practices (Scrum/Kanban).

  • Monitor operational metrics and incident data to drive continuous improvement and reliability.

Ensure adherence to governance, DevSecOps protocols.

Qualifications

  • Bachelor's degree in computer science, engineering, or a related field; advanced degrees or certifications are an asset.

  • 6+ years of progressive experience in engineering roles, including at least 1-2 years leading emerging tech or AI initiatives.

  • Experience in:

    • Gen AI models (GPT, Claude, Gemini, Copilot) and prompt engineering techniques

    • Agentic AI, MCP, and Graph/RAG architectures

    • Gen AI Framework (Amazon Bedrock, LangChain, LlamaIndex, Hugging Face, PandsAI)

    • Web application development using Next.js, React, TypeScript/JavaScript

    • AWS cloud services (EC2, ELB/GLB/NLB, EKS, Fargate, Lambda, Athena, Glue, Lake Formation)

    • Infrastructure as Code (Puppet, Terraform, Docker) and containerized deployments

    • ETL orchestration using Apache Airflow/DAGs

    • Vector/Graph databases (Weaviate, Milvus, PGVector, Neo4J, Neptune) and query optimization

    • Python programming (NumPy, Pandas, Matplotlib, Boto3)

    • Automated testing frameworks (Ragas, Playwright, Zephyr, Selenium,)

    • Familiarity with SDLC best practices, DevSecOps, Agile Scrum/Kanban, and work management tools (JIRA, Confluence, JIRA Align).

  • Knowledge of LLM fine tuning techniques

  • Experience in BI tools like QuickSight, Tableau, and knowledge of financial markets and enterprise data systems

For candidates applying to the New York posting: The salary range for this position is $163,000 to $255,000.

US state/city legislation requires CPP investments to include a reasonable estimate of the compensation range for this role. The base salary range shown here is a reasonable expectation for the posted role and is part of a competitive total rewards package which includes comprehensive benefits, a performance-based incentive plan, a 401 (k) plan and paid time off. Actual salaries may vary and may be above or below the range based onvarious factors, including, but not limited to, experience andexpertise.


You are motivated to contribute to something larger than yourself, approach complex challenges with rigor, and hold yourself tohigh standardsin a collaborative, performance-driven environment.


We provide colleagues with cutting-edge AI tools, dedicated learning time, and practical support to help them deliver with greater impact.

Inclusion & Accessibility

CPP Investments is committed toequitableaccess to employment and building a workforce that reflects diverse talent and perspectives. If you require accommodation at any stage of the recruitment process, please let us know and we will work with you to meet your needs.

Attention: Protect Yourself from Fraud

CPP Investments is committed to a secure and transparent recruitment process. We will never ask candidates for payment or financial information at any stage of hiring. All legitimate opportunities are posted on our careers page, and communications will come from our applicant tracking system, Workday.


CPP Investments may use AI tools to help screen and assess applicants by analyzing resumes and applications for relevant skills and experience. These tools support, but do not replace, human decision-making.


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