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 hiring entry-level Frontier Certified Engineers (FCE). This is an early-career program designed to give recent graduates and early-career technologists structured training, hands-on bootcamp experience, and mentorship to build AI-enabled software engineering skills. You will learn to work with AI-assisted development tools, cloud platforms, and modern delivery practices while contributing to real client solutions.

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What You’ll Gain

• Structured onboarding including an engineering bootcamp and Frontier training
• Hands-on project work in small, cross-functional pods
• Mentorship from experienced engineers, architects, and AI practitioners
• Frontier certifications and ongoing learning opportunities
• Experience across AI, software engineering, cloud, automation, and delivery practices
• Exposure to AI-assisted development tools and responsible AI principles

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Who We’re Looking For

We encourage applications from early-career candidates who demonstrate strong technical foundations, curiosity, and a desire to learn. Typical backgrounds include Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or similar disciplines. Practical experience can come from coursework, internships, co-ops, research, military experience, projects, hackathons, or certifications.

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Responsibilities

• Learn to use AI-assisted development tools and emerging engineering technologies
• Write, test, debug, and improve code in collaboration with teammates and AI tools
• Support development of AI-enabled applications, automation, and workflows
• Evaluate AI-generated outputs for quality, accuracy, and business relevance
• Contribute to retrieval systems, data-driven features, and knowledge workflows
• Participate in testing, deployment, monitoring, documentation, and support tasks
• Work in a small, cross-functional pod to deliver measurable client outcomes
• Apply responsible AI practices and engineering best practices
• Continuously learn new tools, cloud services, and delivery approaches
• Complete required technical training, certifications, and bootcamp projects

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Required Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or related technical discipline
• Recent graduate or early-career professional with hands-on technical experience (coursework, internships, projects, military experience, certifications, hackathons, etc.)
• Demonstrated interest in software development, cloud, AI, data engineering, or automation
• Strong analytical, troubleshooting, and problem-solving skills
• Effective written and verbal communication skills
• Ability to collaborate in team-oriented environments
• Curiosity, adaptability, and a strong willingness to learn
• Ownership mindset and accountability for delivering quality work

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Preferred Qualifications (not required)

• Experience with programming 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, or prompt engineering
• Experience with APIs, automation platforms, databases, or data engineering concepts
• Experience using source control (Git) and collaborative development workflows
• Projects, internships, or personal work involving AI, cloud, data, or automation
• Interest in responsible AI and continuous technical development

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Training & Certification

• Pass the Frontier Center of Excellence assessment (AI foundations, software engineering, cloud, infrastructure, delivery, business fundamentals)
• Complete the Frontier engineering bootcamp and hands-on pod projects
• Participate in ongoing technical learning and Frontier certification programs
• Work alongside experienced practitioners while contributing to client solutions

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Total Compensation

• Base salary: $100,000 per year
• Eligible for discretionary annual performance-based bonus
• Benefits supporting physical, mental, and financial wellbeing

(If you need state- or locality-specific pay notices, Careertakes will surface those where required.)

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Location & Work Arrangement

• Hybrid role requiring approximately 3 days per week onsite at a client or Confidential Client office in Toronto, ON.
• This posting reflects the working arrangement at the time of posting; actual project requirements may change. The hiring team will provide clarity about role expectations.

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Start Date

• Anticipated new-hire start: September 2026. Final start date depends on business need and role availability and will be communicated in advance.

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Additional Disclosures

• Applicants must be legally authorized to work in Canada without employer sponsorship now or in the future.
• This is an entry-level program; professional AI experience is not required.
• Confidential Client and Careertakes encourage candidates to apply even if they do not meet every preferred qualification.

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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.