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, a company in the IT industry.

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

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About the role

Join a structured, entry-level engineering program focused on AI-enabled delivery. As a Frontier Certified Engineer (FCE), you’ll complete an intensive onboarding and bootcamp, work in small cross-functional pods, and learn to build software and AI-enabled solutions using modern engineering practices and AI-assisted development tools. This program is designed for recent graduates and early-career technologists who want hands-on training, mentorship, and exposure to client projects.

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What you’ll gain

• Structured onboarding, Frontier training, and a hands-on engineering bootcamp
• Mentorship from experienced engineers, architects, and AI practitioners
• Practical experience building AI-enabled applications, automation, and cloud solutions
• Frontier certifications and ongoing technical learning opportunities
• Exposure to AI-assisted development tools, responsible AI practices, and modern delivery processes
• Opportunity to deliver measurable business outcomes for global clients

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Responsibilities

• Learn to use AI-assisted development tools and emerging engineering technologies to build and improve software solutions
• Write, test, debug, and enhance code while collaborating with teammates and AI-powered tools
• Support development of AI-enabled applications, automation, and data-driven workflows
• Evaluate AI-generated outputs for quality, accuracy, performance, and business relevance
• Contribute to testing, deployment, monitoring, documentation, and operational support activities
• Help build knowledge systems, retrieval workflows, and data solutions that improve AI experiences
• Collaborate in a small, cross-functional pod to deliver customer and business outcomes
• 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 learning experiences

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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
• 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 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

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

• Experience with one or more programming languages such as Python, Java, JavaScript, TypeScript, or C#
• 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, or data engineering concepts
• Familiarity with Git and collaborative development practices
• Project experience (academic, personal, or internship) involving software development, AI, cloud, or data

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Training & certification

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

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Location & work authorization

• This is a hybrid role that requires approximately 3 days per week in a client or office located in Toronto, ON. Working arrangements may vary by project and client needs; details will be confirmed during the hiring process.
• Applicants must be legally authorized to work in Canada without employer sponsorship now or in the future.

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Compensation & start date

• Base salary: $100,000 per year
• Eligible for the confidential client’s discretionary annual performance-based bonus and a benefits package that supports physical, mental, and financial wellbeing
• Anticipated start: September 2026
• Applications accepted until August 17, 2026

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Other details

• This is an entry-level opportunity; professional AI experience is not required. We encourage candidates to apply even if they do not meet every preferred qualification listed above.
• The program is designed for rapid learning and hands-on impact; successful candidates will be adaptable, curious, and committed to continuous improvement.

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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.