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 (Information Technology).

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

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Program Overview

This entry-level engineering program trains early-career technologists to work in AI-enabled delivery teams. As a Frontier Certified Engineer (FCE), you’ll join a structured bootcamp and onboarding experience, learn to collaborate with AI-assisted development tools, and contribute to real client solutions within a small, cross-functional pod environment. This role emphasizes hands-on learning, mentorship, and continuous technical growth.

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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 cloud-based solutions
• Exposure to modern delivery practices and responsible AI principles

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Key Responsibilities

• 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-powered tools
• Support development of AI-enabled applications, automation, and data-driven workflows
• Evaluate AI-generated outputs for quality, accuracy, and business relevance
• Contribute to testing, deployment, monitoring, documentation, and operational support
• Help build knowledge systems, retrieval workflows, and other components that improve AI experiences
• Work within a small pod to deliver measurable customer and business outcomes
• Apply responsible AI principles and engineering best practices
• Participate continuously in technical training, certifications, and hands-on learning

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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 hands-on experiences
• Demonstrated interest in software development, cloud technologies, AI, data engineering, automation, or related fields
• Strong analytical, troubleshooting, and problem-solving skills
• Strong written and verbal communication skills
• Ability to collaborate effectively in a team-oriented environment
• Curiosity, adaptability, and a willingness to learn quickly
• Ownership mindset and accountability for delivering high-quality work

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Preferred Qualifications

(The items below are preferred, not required. Candidates should apply even if they have experience in only some areas.)

• 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, software development methodologies, or data engineering concepts
• Familiarity with source control tools such as Git and collaborative development practices
• Portfolio items such as academic, personal, or internship projects involving software development, AI, cloud, or automation

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Training & Certification

• Pass a Center of Excellence assessment covering AI foundations, software engineering, cloud, infrastructure, production delivery, and business fundamentals
• Complete a hands-on Frontier engineering bootcamp and project work within a collaborative pod
• Participate in ongoing technical learning, certifications, workshops, and Frontier engineering development programs
• Work alongside experienced practitioners while building skills to contribute to AI-native systems and client solutions

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Total Compensation

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

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Location & Start Date

• Hybrid program with on-site requirements as determined by client projects. (Original posting notes an office presence requirement of three days per week in a client or company office.)
• Start date indicated in source posting: September 2026. Final start date will depend on business need and position availability.

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Additional disclosures

• This role requires that applicants meet any work-authorization requirements stated by the hiring client. The original posting indicated consideration only for candidates legally authorized to work in Canada without employer sponsorship; confirm authorization requirements with the recruiter.
• This posting was prepared by Careertakes as a third-party recruiting partner. Any references in the original source to an employer name have been replaced with “Confidential Client.”
• We encourage candidates to apply even if they do not meet every preferred qualification listed — this program is designed for early-career professionals and recent graduates.

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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.