Frontier Certified Engineer (FCE) - Canada
The Frontier Certified Engineer role at Confidential Client is an entry-level position designed for early-career professionals passionate about AI-enabled engineering and emerging technologies. The role involves working in collaborative pods to develop AI-assisted software solutions, leveraging cloud, automation, and modern engineering practices to deliver measurable business outcomes. Through structured training, mentorship, and hands-on projects, engineers gain expertise in AI, software development, and cloud technologies while contributing to innovative client solutions in a hybrid work environment.
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 engineering program focused on AI-enabled delivery. This role combines structured training, hands-on bootcamp projects, mentorship, and real-world client work to help early-career technologists build skills in AI, cloud, software engineering, automation, and modern delivery practices.
This opportunity is designed for recent graduates and early-career technology professionals who are curious, collaborative, and excited to learn how to work alongside AI-assisted development tools.
What You’ll Do
- Learn and use AI-assisted development tools and engineering technologies to design, build, and improve software solutions.
- Write, test, debug, and enhance code as part of a small, cross-functional pod.
- Support development of AI-enabled applications, automation workflows, and data-driven solutions.
- Evaluate AI-generated outputs for quality, accuracy, performance, and business relevance.
- Contribute to testing, deployment, monitoring, documentation, and operational support.
- Build and maintain knowledge systems and retrieval workflows that improve AI experiences.
- Apply responsible AI principles and engineering best practices.
- Participate in technical training, certifications, bootcamps, and hands-on learning experiences.
Who You Are (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 internships, co-ops, research, military service, 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 abilities.
- Clear written and verbal communication skills.
- Team-oriented with a willingness to learn, adapt, and take ownership.
Preferred (Nice-to-Have) Skills
- 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, and software development methodologies.
- Familiarity with Git and collaborative development workflows.
- Any academic, internship, or personal projects that demonstrate hands-on software, AI, cloud, or automation work.
Training & Certification
- Pass the Frontier Center of Excellence assessment (AI foundations, software engineering, cloud, infrastructure, production delivery, and business fundamentals).
- Complete a Frontier engineering bootcamp with hands-on project work within a collaborative pod.
- Participate in ongoing technical learning, certifications, and Frontier engineering development programs.
Compensation & Location
- Base salary: $100,000 per year (as stated by confidential client).
- This role is eligible for discretionary annual performance-based bonus and benefits supporting physical, mental, and financial wellbeing.
- Work arrangement: hybrid — typically requires 3 days per week in a client or confidential client office in Toronto, ON. Start date: September 2026.
- Applicants must be legally authorized to work in Canada without employer sponsorship.
Additional Information
- This is an entry-level role; candidates are encouraged to apply even if they do not meet every preferred qualification. Professional AI experience is not required.
- You will gain structured mentorship, hands-on experience, Frontier certifications, and exposure to scalable, AI-native engineering practices.
- Expected application review and any role-specific timelines will be communicated by confidential client; applications for this posting will be accepted through Aug 17, 2026 (per confidential client posting).
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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