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, IT.

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

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About the Role

Confidential Client is building AI-augmented engineering teams and is hiring entry-level Frontier Certified Engineers (FCE). This is a structured, early-career program designed to train recent graduates and early-career technologists to work with AI-assisted development tools, cloud platforms, and modern software-delivery practices. The program combines classroom-style and hands-on bootcamp training, mentorship, and client-facing project experience.

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What You’ll Gain

Confidential Client’s Frontier program focuses on practical skill-building and career acceleration. You will:

• Participate in a structured onboarding and bootcamp focused on AI foundations, software engineering, cloud, and production delivery.
• Work in small, cross-functional pods alongside experienced engineers, architects, and AI practitioners.
• Gain hands-on experience building AI-enabled applications, automation, and data-driven solutions with measurable business impact.
• Earn Frontier certifications and continue professional development through ongoing technical learning.
• Experience a collaborative environment that emphasizes responsible AI, continuous learning, and career growth.

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Responsibilities

As a Frontier Certified Engineer you will:

• Learn and apply AI-assisted development tools and emerging engineering technologies to deliver software solutions.
• Write, test, debug, and enhance code as part of a team using collaborative development practices.
• Support the development of AI-enabled applications, workflows, and automation solutions.
• Evaluate AI-generated outputs for quality, accuracy, and business relevance.
• Help build knowledge systems, retrieval workflows, and data-driven components that improve AI experiences.
• Contribute to testing, deployment, monitoring, documentation, and operational support.
• Follow responsible AI principles and engineering best practices when designing solutions.
• Participate in ongoing technical training, certifications, and hands-on learning experiences.

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Qualifications (Required)

We encourage candidates to apply even if they do not meet every preferred qualification. Required:

• 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 via coursework, internships, co-ops, research, military service, certifications, capstone projects, hackathons, personal projects, or similar hands-on experience.
• Demonstrated interest in software development, cloud technologies, AI, data engineering, automation, or related fields.
• Strong analytical, troubleshooting, and problem-solving skills.
• Strong written and verbal communication skills and the ability to collaborate on a team.
• Curiosity, adaptability, ownership mindset, and a strong willingness to learn.

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Preferred Qualifications

(Helpful but not required)

• Experience with one or more programming languages: Python, Java, JavaScript/TypeScript, C#, or similar.
• Exposure to cloud platforms: Microsoft 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 source control (Git) and collaborative development workflows.
• Project experience (academic, personal, internship) in software, AI, cloud, data, or automation technologies.
• Interest in responsible AI and continuous technical learning.

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Training & Certification

• Complete the Frontier Center of Excellence assessment covering AI foundations, software engineering, cloud, infrastructure, production delivery, and business fundamentals.
• Finish the Frontier engineering bootcamp and hands-on project work within a collaborative pod.
• Participate in ongoing technical learning, certifications, and Frontier engineering development programs, while working alongside experienced practitioners.

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Compensation, Location & Start Date

• Base salary: $100,000 per year.
• Eligible for discretionary annual performance-based bonus and benefits that support physical, mental, and financial wellbeing.
• Work arrangement: Hybrid — typically requires three days per week in a client or Confidential Client office in Toronto, ON. Exact working arrangement may vary by project and will be communicated clearly.
• Start date: New hires are expected to start in September 2026. Final start date will depend on business needs and availability.
• Applicants must be legally authorized to work in Canada without requiring employer sponsorship now or in the future — Confidential Client will only consider candidates who meet this requirement.

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Additional disclosures

• This role is designed for early-career talent. Professional AI experience is not required; training and mentorship are provided.
• Confidential Client has indicated that applications for this position are reviewed by their recruitment team. (If you have questions about screening practices, you may ask during the process.)
• Applications will be accepted until August 17, 2026. This posting may represent future hiring needs; candidates who express interest may be contacted for future openings.

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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.