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 Program

Confidential Client's Frontier program builds AI-augmented engineering teams that combine AI, software engineering, cloud, data, quality, infrastructure, and operations to deliver measurable business outcomes. As a Frontier Certified Engineer (FCE), you’ll join an entry-level cohort designed to train early-career technologists to work alongside AI-powered tools and collaborative engineering pods to solve real client problems.

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What You’ll Gain

• Structured onboarding and a hands-on Frontier engineering bootcamp
• Mentorship from experienced engineers, architects, and AI practitioners
• Frontier certifications and ongoing technical learning opportunities
• Practical experience building AI-enabled applications, automation, and cloud solutions
• Exposure to modern engineering practices, responsible AI principles, and delivery workflows

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What You’ll Do

• Learn to use AI-assisted development tools and emerging engineering technologies to build and improve software solutions
• Write, test, debug, and enhance code in collaboration with teammates and AI tools
• Help develop AI-enabled applications, workflows, and automation solutions
• Evaluate AI-generated outputs for quality, accuracy, and business relevance
• Contribute to testing, deployment, monitoring, documentation, and operational support
• Build knowledge systems and retrieval workflows to improve AI experiences
• Work within a cross-functional pod to deliver measurable customer outcomes
• Continuously learn new tools, cloud platforms, and delivery approaches

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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 hands-on technical experience from coursework, internships, co-ops, research, military experience, certifications, hackathons, capstone projects, or personal projects
• Demonstrated interest in software development, cloud, AI, data engineering, automation, or related fields
• Strong analytical, troubleshooting, and problem-solving skills
• Effective written and verbal communication skills
• Ability to collaborate effectively on small teams
• Curiosity, adaptability, and a strong willingness to learn
• Ownership mindset and accountability for delivering high-quality work

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Preferred Qualifications

(Preferred, not required — we encourage applicants who meet some of these through coursework or projects.)

• 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 dev tools
• Experience with APIs, automation platforms, databases, and data engineering concepts
• Familiarity with source control tools such as Git and collaborative development practices
• Academic, internship, or personal projects involving AI, software, cloud, data, or automation

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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 and hands-on project work within a collaborative pod
• Participate in ongoing technical learning and certifications while working alongside Frontier practitioners

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Total Compensation

• Base salary: $100,000 per year (as stated by the hiring organization)
• Eligible for discretionary annual performance-based bonus and benefits that support physical, mental, and financial wellbeing

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Location & Work Arrangement

• Hybrid role requiring in-office presence based on business needs (the source indicates a hybrid arrangement). Final work-location expectations and arrangements will be communicated during hiring and onboarding.
• Note: Confidential Client may require specific geographic or work-authorization criteria for certain roles; see "Additional disclosures" below.

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Start Date

• Target start: September 2026. Exact start dates will be confirmed based on business needs and candidate availability.

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Additional Disclosures

• Confidential Client will only consider applicants who meet the role’s legal work-authorization requirements. (The original posting indicates applicants must be legally authorized to work in Canada without employer sponsorship; please confirm specific authorization requirements during the application process.)
• This is an entry-level opportunity — professional AI experience is not required. Candidates who meet many, but not all, preferred qualifications are encouraged to apply.
• Applications for this role may be subject to standard background checks and assessments as required by the hiring 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.