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, an IT services and consulting organization (Confidential Client).

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

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Overview

Confidential Client is launching an entry-level engineering program for candidates excited about AI-augmented software delivery. As a Frontier Certified Engineer (FCE), you'll complete structured training and an engineering bootcamp, then join a small, cross-functional pod to build AI-enabled applications, automation, and cloud solutions that deliver measurable business outcomes.

This role is ideal for recent graduates and early-career technologists who want hands-on experience with AI-assisted development tools, modern engineering practices, and cloud platforms.

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What You’ll Gain

• Structured onboarding and a hands-on 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 data-driven solutions
• Exposure to cloud platforms, source control, and collaborative delivery practices
• A collaborative environment that values curiosity, continuous learning, and professional growth

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Key Responsibilities

• Learn and apply AI-assisted development tools and modern engineering practices to build software solutions
• Write, test, debug, and enhance code in collaboration with teammates and AI-powered tooling
• Support development of AI-enabled applications, workflows, and automation solutions
• Evaluate AI-generated outputs for quality, accuracy, and business relevance
• Contribute to building knowledge systems, retrieval workflows, and data-driven features
• Participate in testing, deployment, monitoring, documentation, and operational support tasks
• Apply responsible AI principles and engineering best practices
• Continuously learn new tools, technologies, 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, or personal projects
• Demonstrated interest in software development, cloud technologies, AI, data engineering, or automation
• Strong analytical, troubleshooting, and problem-solving skills
• Effective written and verbal communication skills
• Ability to collaborate in a team-oriented environment
• Intellectual curiosity, adaptability, and a willingness to learn quickly
• 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 such as 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
• Familiarity with Git and collaborative development workflows
• Project or internship experience in software development, 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 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, certifications, and Frontier engineering development programs
• Work alongside experienced practitioners to develop skills required for AI-native client solutions

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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
• Confidential Client regularly reviews market data to maintain competitive compensation

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Location & Work Arrangement

• Hybrid role requiring on-site presence approximately 3 days per week in a client or Confidential Client office in Toronto, ON
• Working arrangements may vary by project or client requirements; specifics will be shared during the hiring process

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Start Date & Timeline

• Expected start: September 2026
• Applications reviewed on a rolling basis; positions and start dates will depend on business needs

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Additional Disclosures & Candidate Eligibility

• Confidential Client will consider applicants who are legally authorized to work in Canada without employer sponsorship now or in the future.
• Careertakes supports this hiring process; applicant data will be handled according to Careertakes privacy policies.
• This posting is for an entry-level program. Professional AI experience is not required; structured training will be provided.
• We encourage applicants who meet core qualifications 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.