About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, an IT organization.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Overview

Confidential Client is launching a Frontier Certified Engineer (FCE) program to train and grow early-career engineers who will work with AI-augmented development tools, cloud platforms, and modern software delivery practices. This is an entry-level, full-time, hybrid role that includes structured training, mentorship, and hands-on project work in small cross-functional pods. The role requires legal authorization to work in Canada without employer sponsorship.

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What You’ll Gain

• Structured onboarding and a hands‑on engineering bootcamp focused on AI-augmented engineering.
• Mentorship from experienced engineers, architects, and AI practitioners.
• Practical experience building AI-enabled applications, automation, and cloud solutions.
• Frontier certifications and ongoing technical learning opportunities.
• Opportunity to work on client-facing projects that deliver measurable business outcomes.
• A collaborative, growth-oriented environment that values continuous learning.

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Responsibilities

• Learn to use AI-assisted development tools and apply them to real engineering tasks.
• Write, test, debug, and improve code as part of a collaborative pod.
• Support development of AI-enabled workflows, automation, and data-driven systems.
• Evaluate AI-generated outputs for quality, accuracy, performance, and business relevance.
• Contribute to testing, deployment, monitoring, documentation, and operational support.
• Help build knowledge systems, retrieval workflows, and data solutions that improve AI experiences.
• Apply responsible AI principles and engineering best practices.
• Participate in certifications, workshops, and ongoing technical training.

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Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or a related technical discipline.
• Recent graduate or early-career professional with technical experience from coursework, internships, co-ops, research, military experience, certifications, hackathons, capstone projects, or personal projects.
• Demonstrated interest in software development, cloud technologies, AI, data engineering, or automation.
• Strong analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to collaborate effectively in team environments.
• Curiosity, adaptability, and a fast learner’s mindset.
• Ownership mindset with accountability for delivering high-quality work.

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Preferred Qualifications

• Experience with one or more languages such as Python, Java, JavaScript, TypeScript, or C#.
• Exposure to cloud platforms: Azure, AWS, or Google Cloud.
• Familiarity with generative AI, large language models, prompt engineering, or AI-assisted development tools.
• Experience with APIs, automation platforms, databases, or data engineering concepts.
• Familiarity with Git and collaborative development workflows.
• Hands-on projects (academic, internship, open-source or personal) involving software, AI, cloud, or automation.
• Interest in responsible AI and emerging technologies.

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Training & Certification

• Complete an entrance assessment covering AI foundations, software engineering, cloud, infrastructure, and production delivery.
• Complete the Frontier engineering bootcamp with hands-on project work in a collaborative pod.
• Earn Frontier certifications and participate in ongoing technical learning programs.
• Work alongside experienced practitioners while developing skills to contribute to AI-native systems and solutions.

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Compensation & Benefits

• Base salary: $100,000 per year.
• Eligible for discretionary performance-based bonus and benefits that support physical, mental, and financial wellbeing.
• Confidential Client reviews market data regularly to keep compensation competitive.

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Work Arrangement & Start Date

• Hybrid position requiring approximately 3 days per week on-site in a Toronto, ON office (client or Confidential Client location) as business needs require.
• Start date: new hires will start in September 2026. Final start date will depend on business needs and candidate availability.
• Working arrangements may change based on project and client requirements; role expectations will be communicated clearly.

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Additional Disclosures

• Confidential Client will only consider applicants who are legally authorized to work in Canada without requiring employer sponsorship now or in the future.
• Applications for this position are reviewed by the recruitment team without the use of AI screening tools.
• Applications will be accepted until August 17, 2026. This posting represents potential future employment opportunities; candidates may be contacted for roles that match their background as positions become available.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.