Frontier Certified Engineer (FCE) - Canada
The Frontier Certified Engineer (FCE) at Confidential Client is an entry-level role focused on developing AI-enabled software solutions through collaboration with AI tools and cross-functional teams. The position offers structured training, mentorship, and hands-on experience in AI, cloud, automation, and modern engineering practices to deliver measurable business outcomes. This hybrid role in Toronto supports early-career professionals passionate about emerging technologies and continuous learning.
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.
Overview
Confidential Client is hiring an entry-level Frontier Certified Engineer (FCE) to join a next-generation AI-enabled engineering program. This role is designed for recent graduates and early-career technologists who want structured training, mentorship, and hands-on experience building AI-augmented software solutions in a hybrid Toronto, ON environment.
What You’ll Gain
This program offers:
- Structured onboarding, a hands-on engineering bootcamp, and Frontier training.
- Mentorship from experienced engineers and AI practitioners.
- Practical experience with AI-assisted development, cloud, automation, and modern delivery practices.
- Opportunity to earn Frontier certifications and continue professional technical development.
- Work on client-facing projects delivering measurable business outcomes.
Key Responsibilities
As a Frontier Certified Engineer you will:
- Learn and apply AI-assisted development tools and emerging engineering technologies.
- Write, test, debug, and enhance code in collaboration with teammates and AI tools.
- Support development of AI-enabled applications, workflows, and automation.
- Evaluate AI-generated outputs for quality, accuracy, and business relevance.
- Help build knowledge retrieval workflows, data-driven solutions, and operational integrations.
- Contribute to testing, deployment, monitoring, documentation, and operational support.
- Work inside a small, cross-functional pod to deliver customer value.
- Apply responsible AI principles and engineering best practices.
- Continuously learn new tools, languages, cloud services, and delivery approaches.
Required Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, or a related technical discipline.
- Recent graduate or early-career professional with technical experience from coursework, internships, co-ops, research, military experience, bootcamps, capstone projects, hackathons, open-source contributions, or personal projects.
- Demonstrated interest in software development, cloud technologies, AI, data engineering, or automation.
- Strong analytical, troubleshooting, and problem-solving skills.
- Clear written and verbal communication skills and ability to collaborate in teams.
- Curiosity, adaptability, and a growth mindset with an ownership mentality.
Preferred (Not Required)
- Experience with programming languages such as Python, Java, JavaScript/TypeScript, or C#.
- Exposure to cloud platforms (Azure, AWS, or Google Cloud).
- Familiarity with generative AI, large language models, or prompt engineering.
- Knowledge of APIs, databases, automation platforms, and software development methodologies.
- Familiarity with Git and collaborative development workflows.
- Any academic, internship, or personal projects involving AI, cloud, data, or automation.
Training & Certification
- Complete the Frontier Center of Excellence assessment (AI foundations, software engineering, cloud, infrastructure, production delivery, business fundamentals).
- Complete the Frontier engineering bootcamp with hands-on project work in a pod setting.
- Participate in ongoing technical learning, certifications, and workshops.
Compensation & Work Location
- Base salary: $100,000 per year.
- Eligible for discretionary annual performance-based bonus and benefits that support physical, mental and financial wellbeing.
- Hybrid role with an expected in-office requirement (approximately 3 days/week) in Toronto, ON; specific client or office expectations will be shared during hiring and onboarding.
- Start date: hires are expected to start in September 2026 (final start dates subject to business needs and availability).
Note: Confidential Client will consider applicants who meet local work-authorization requirements. Applicants who require employer sponsorship should verify eligibility before applying.
Additional Notes
- This is an entry-level opportunity; candidates are encouraged to apply even if they do not meet every preferred qualification.
- Professional AI experience is not required — emphasis is on technical foundations, learning aptitude, and teamwork.
- Reasonable accommodations are available for candidates with disabilities during the application and interview process; please request accommodations via Careertakes.
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.
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