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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Overview

Confidential Client is building next-generation, AI-augmented engineering teams. This entry-level Frontier Certified Engineer (FCE) opportunity is a structured program for recent graduates and early-career technologists who want hands-on experience with AI-assisted development, cloud platforms, automation, and modern software delivery practices. The role includes a training bootcamp, mentorship, and the opportunity to earn Frontier certifications while working in small, cross-functional pods on client-facing projects.

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What You’ll Gain

• Structured onboarding and a hands-on engineering bootcamp focused on AI-enabled software delivery
• Mentorship from experienced engineers, architects, and AI practitioners
• Experience with AI-assisted development tools, cloud platforms, and automation
• Frontier certifications and ongoing technical learning opportunities
• Exposure to real client challenges and measurable business-impact projects
• A collaborative environment that values curiosity and continuous learning

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Who We’re Looking For

We encourage applications from candidates who are:

• Recent graduates or early-career technologists with degrees in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or similar fields
• Candidates who built technical experience through internships, co-ops, research, military service, apprenticeships, capstone projects, hackathons, certifications, open-source contributions, or personal projects
• Self-motivated learners with a strong technical foundation, analytical skills, and a collaborative mindset
• Interested in software development, cloud technologies, AI, data engineering, automation, or related fields

This is an entry-level role—professional AI experience is not required. Apply even if you don’t meet every preferred qualification.

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Responsibilities

• Learn to use AI-assisted development tools and modern engineering technologies to design, build, and improve software
• Write, test, debug, and enhance code in collaboration with teammates and AI-powered tools
• Support development of AI-enabled applications, workflows, and automation solutions
• Evaluate AI-generated outputs for accuracy, performance, and business relevance
• Contribute to knowledge systems, retrieval workflows, and data-driven solutions that enhance AI experiences
• Participate in 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, technologies, and delivery approaches
• Complete technical training, certifications, workshops, and hands-on project work

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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 from coursework, internships, co-ops, 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 on a team
• Curiosity, adaptability, and a fast-learning mindset
• Ownership mindset and accountability for delivering quality work

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Preferred Qualifications

(Preferred but not required — we welcome candidates with partial experience.)

• Experience with one or more 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, prompt engineering, or AI-assisted development tools
• Experience with APIs, automation platforms, databases, and software development methodologies
• Familiarity with Git and collaborative development practices
• Project or internship experience in software development, AI, cloud, data, or automation

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Training & Certification

• Pass the Frontier Center of Excellence assessment covering AI foundations, software engineering, cloud, infrastructure, production delivery, and business fundamentals
• Complete the Frontier engineering bootcamp with hands-on project work in a collaborative pod
• Participate in ongoing technical learning and Frontier certification programs
• Work alongside experienced Frontier practitioners to develop skills for AI-native systems and client solutions

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Total Compensation

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

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Location & Work Arrangement

• This is a hybrid role that requires on-site presence 3 days per week in a client or Confidential Client office in Toronto, ON (working arrangements may vary by project).
• New hires are expected to start in September 2026; exact start date will be confirmed based on business need and candidate availability.

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Additional Disclosures

• Applicants must be legally authorized to work in Canada without employer sponsorship now or in the future.
• This posting may represent future hiring needs; applications may be held for consideration.
• Recruitment screening details: this posting indicates applications are reviewed by the recruitment team (the original posting noted no AI screening for that process).

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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.