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, in the IT industry.

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 hiring entry-level Frontier Certified Engineers (FCE) to join a next-generation engineering program focused on AI-augmented delivery. This role is designed for recent graduates and early-career technologists who want structured training, hands-on bootcamp experience, and ongoing mentorship while contributing to real client projects that combine AI, software engineering, cloud, data, automation, and modern delivery practices.

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What You’ll Gain

• Structured onboarding including Frontier training and a hands-on engineering bootcamp
• Mentorship from experienced engineers, architects, and AI practitioners
• Exposure to AI-assisted development tools and modern engineering practices
• Practical experience delivering client-facing solutions that produce measurable business outcomes
• Frontier certifications and continuing technical learning opportunities
• A collaborative environment that values curiosity, continuous learning, and professional growth

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Key Responsibilities

As a Frontier Certified Engineer you will:

• Learn and apply AI-assisted development tools and emerging engineering technologies
• Write, test, debug, and enhance code in collaboration with teammates and AI tools
• Support development of AI-enabled applications, automation workflows, and data-driven solutions
• Evaluate AI-generated outputs for quality, accuracy, and business relevance
• Help build knowledge systems and retrieval workflows to improve AI experiences
• Contribute to testing, deployment, monitoring, documentation, and operational support
• Work in a small cross-functional pod to deliver measurable customer outcomes
• Apply responsible AI principles and engineering best practices
• Continuously learn new tools, cloud platforms, and delivery approaches
• Participate in technical training, certifications, workshops, and hands-on projects

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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, personal projects, or similar activities
• Demonstrated interest in software development, cloud, AI, data engineering, automation, or related fields
• Strong analytical, troubleshooting, and problem-solving skills
• Solid written and verbal communication skills
• Ability to collaborate effectively in team-oriented environments
• Curiosity, adaptability, and a strong willingness to learn
• Ownership mindset and accountability for delivering high-quality work

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Preferred Qualifications (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 from academics, internships, open-source, or personal projects involving software, AI, cloud, or automation
• Interest in responsible AI and continuous technical learning

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Training & Certification

• Pass the Frontier Center of Excellence assessment (AI foundations, software engineering, cloud, infrastructure, production delivery, business fundamentals)
• Complete the Frontier engineering bootcamp with hands-on project work in a pod environment
• Participate in ongoing technical learning and certification programs while working alongside experienced practitioners

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Compensation & Benefits

• Base salary: $100,000 per year
• Eligible for discretionary annual performance-based bonus
• Benefits to support physical, mental, and financial wellbeing (details provided by the hiring organization)

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Location & Start Date

• This role is a hybrid position based in Toronto, ON and requires approximately 3 days per week onsite in a client or confidential client office (working arrangements may vary by project).
• Target start: September 2026.

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Additional Disclosures & Candidate Eligibility

• Applicants must be legally authorized to work in Canada without employer sponsorship now or in the future.
• Applications for this position are reviewed by the client’s recruitment team; selection decisions are made by people. (Careertakes may surface additional matched opportunities to applicants.)
• Applications accepted until August 17, 2026. Specific openings and start dates depend on business needs and availability.

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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.