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 — AI-augmented enterprise services.

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

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About the role

This entry-level engineering program (Frontier Certified Engineer, FCE) trains early-career technologists to build AI-enabled software, cloud, automation, and data solutions. As an FCE you’ll complete structured onboarding and a hands-on engineering bootcamp, work in a small cross-functional pod, and learn to collaborate with AI-assisted development tools to deliver measurable outcomes for clients.

Who this is for

• Recent graduates or early-career professionals with degrees or equivalent experience in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Mathematics, or related technical fields.
• Candidates who have gained technical experience via coursework, internships, co-ops, capstone projects, research, military experience, certifications, hackathons, open-source contributions, or personal projects.
• Individuals with strong curiosity, a growth mindset, and interest in AI-assisted engineering, cloud platforms, data, and automation.

What you’ll gain

• Structured onboarding, Frontier training, and an engineering bootcamp.
• Hands-on experience building AI-enabled solutions and deliverables for real client projects.
• Mentorship from experienced engineers and AI practitioners.
• Frontier certifications and ongoing technical learning opportunities.
• Exposure to modern delivery practices, cloud platforms, and AI-assisted development tools.

Responsibilities

• Learn and use AI-assisted development tools and modern engineering technologies to build and improve software solutions.
• Write, test, debug, and enhance code in collaboration with teammates and AI tools.
• Support development of AI-enabled applications, automation workflows, and data-driven features.
• Evaluate AI-generated outputs for quality, accuracy, and business relevance.
• Contribute to deployment, monitoring, testing, documentation, and operational support tasks.
• Help build knowledge systems, retrieval workflows, and data solutions that improve AI experiences.
• Work within a small, cross-functional pod to deliver measurable customer outcomes.
• Apply responsible AI principles and engineering best practices.
• Continuously learn new tools, cloud services, and delivery approaches.

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 (projects, internships, research, military, certifications, hackathons, etc.).
• Demonstrated interest in software development, cloud technologies, AI, data engineering, automation, or related fields.
• Strong analytical, troubleshooting, and problem-solving skills.
• Clear written and verbal communication and ability to work effectively in teams.
• Curiosity, adaptability, and accountability for delivering high-quality work.

Preferred (not required)

• Experience with one or more programming languages such as Python, Java, JavaScript, TypeScript, or C#.
• Exposure to cloud platforms (Microsoft Azure, AWS, Google Cloud).
• Familiarity with generative AI, large language models, prompt engineering, or AI-assisted development tools.
• Knowledge of APIs, databases, automation platforms, and software development methodologies.
• Familiarity with Git and collaborative version control workflows.
• Demonstrated project work involving software development, AI, cloud, or data tools.

Training & certification

• Pass the Frontier Center of Excellence assessment covering AI fundamentals, software engineering, cloud, infrastructure, production delivery, and business basics.
• Complete the Frontier engineering bootcamp with hands-on project work in a collaborative pod.
• Participate in ongoing technical learning and Frontier engineering development programs.

Total compensation

• Base salary: $100,000 per year (as listed by the client).
• Eligible for the client’s discretionary annual performance-based bonus and benefits that support physical, mental, and financial wellbeing.

Location & work authorization

• This role is a hybrid position requiring on-site presence approximately 3 days per week in a Toronto, ON office (location may depend on the project).
• Our client will only consider applicants who are legally authorized to work in Canada without requiring employer sponsorship now or in the future. Applicants should confirm eligibility before applying.

Start date & important dates

• Target start date: September 2026.
• Applications accepted until August 17, 2026 (per the client posting). Start dates and working arrangements may vary based on project needs — the client will provide final details if selected.

Additional disclosures

• Recruitment and hiring decisions are made by the client. The client’s posting indicates applications for this role were reviewed by their recruitment team; selected candidates will work for the client directly.
• This is an entry-level program; professional AI experience is not required. Applicants are encouraged to apply even if they do not meet every preferred qualification.
• Confidential Client is an equal opportunity employer and will consider applicants without regard to any protected characteristic.

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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.