19 дней назад
AI Engineer Intern (Winter 2027) (AI)
25 - 35CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer Intern (AI): Building AI-powered applications and agents for engineering workflows, knowledge discovery, and developer productivity with an accent on LLM integrations, agent workflows, evaluation, and secure software development. Focus on designing tool and API integrations, testing task accuracy and reliability, and contributing to user interfaces, backend services, and reusable AI platform capabilities.
Location: Ottawa, Canada
Hourly pay: CAD 25.50–35.00
Company
Develops high-speed connectivity infrastructure and networking technology supporting AI applications.
What you will do
- Design, build, and improve AI agents for engineering workflows, knowledge discovery, and developer productivity.
- Develop tools and API integrations for information retrieval, enterprise system interaction, and multi-step tasks.
- Contribute to user interfaces, backend services, and reusable platform capabilities.
- Experiment with prompts, context management, and agent workflows using tests and user feedback.
- Build automated tests and evaluation scenarios covering accuracy, reliability, safety, latency, cost, and task completion.
- Collaborate on feature delivery, code reviews, technical documentation, and troubleshooting while applying secure software development practices.
Requirements
- Education: actively enrolled in a Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline.
- Proficiency in at least one general-purpose programming language, such as Python, JavaScript, TypeScript, Java, or C++.
- Understanding of data structures, modular design, debugging, and testing.
- Experience building software through coursework, personal projects, hackathons, open-source contributions, or internships.
- Basic familiarity with large language models and their capabilities and limitations.
- Strong problem-solving, communication, collaboration, and independent learning skills.
Nice to have
- Experience with LLM APIs, tool calling, structured outputs, or multi-step agent workflows.
- Familiarity with web applications, REST APIs, databases, and Git-based development.
- Exposure to knowledge retrieval, RAG, context management, or agent evaluation.
- Experience with automated testing, CI/CD, containers, monitoring, or AI-assisted development tools.
Culture & Benefits
- Employee Assistance Program.
- Company-paid holidays, paid sick leave, and vacation pay as required by applicable laws.
- Inclusive workplace committed to respect, diversity, and equal opportunity.
- Development opportunities, meaningful work, and flexibility.
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