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 & Software Engineering).

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

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Overview

This entry-level Frontier Certified Engineer (FCE) program is a hands-on engineering entry point into AI-augmented software delivery. The confidential client is building teams that combine AI, software engineering, cloud, data, automation, and infrastructure to deliver measurable business outcomes. The FCE program provides structured onboarding, an engineering bootcamp, certification pathways, and mentorship to prepare early-career talent to work alongside AI-assisted development tools in production environments.

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What You’ll Do

• Learn to use AI-assisted development tools and modern engineering technologies to design, build, test, and support software solutions.
• Write, test, debug, and enhance code in collaboration with teammates and AI-powered tools.
• Support development of AI-enabled applications, automation workflows, and data-driven features.
• Evaluate AI-generated outputs for accuracy, relevance, and performance; help tune models and prompts when required.
• Contribute to knowledge systems, retrieval workflows, and data pipelines that improve AI experiences.
• Participate in testing, deployment, monitoring, documentation, and operational support activities.
• Work within a small, cross-functional pod to deliver measurable customer and business outcomes.
• Apply responsible AI principles and engineering best practices when developing solutions.
• Continuously learn new tools, cloud services, and delivery approaches through structured training and on-the-job experience.

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Who Should Apply

This is an entry-level opportunity suited for recent graduates and early-career technologists who are excited about AI-enabled engineering. We encourage applicants who have gained technical experience through coursework, internships, co-ops, research, military service, certifications, hackathons, capstone projects, personal/open-source projects, or other 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 demonstrable technical experience (projects, internships, coursework, or similar).
• Demonstrated interest in software development, cloud technologies, artificial intelligence, data engineering, or automation.
• Strong analytical, troubleshooting, and problem-solving skills.
• Good written and verbal communication skills and ability to collaborate in team settings.
• Curiosity, adaptability, and a strong willingness to learn quickly.
• Ownership mindset and accountability for delivering quality work.
• Ability to meet the employment and work-location requirements listed below.

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Preferred (Not Required)

• Experience with one or more languages such as Python, Java, JavaScript, TypeScript, or C#.
• Exposure to cloud platforms (Azure, AWS, Google Cloud).
• Familiarity with generative AI, large language models, prompt engineering, or AI-assisted development workflows.
• Familiarity with APIs, automation platforms, databases, and software development methodologies.
• Experience with Git and collaborative source-control workflows.
• Academic or personal projects involving software, AI, cloud, data, or automation technologies.
• Interest in responsible AI and continuous technical learning.

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Training & Certification

• Complete the Frontier Center of Excellence assessment (AI foundations, software engineering, cloud, delivery, business fundamentals).
• Finish the Frontier engineering bootcamp with hands-on project work inside a collaborative pod.
• Participate in ongoing technical learning and Frontier certification programs alongside experienced practitioners.

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Compensation & Benefits

• Base salary: $100,000 per year.
• Eligible for discretionary annual performance-based bonus and benefits supporting physical, mental, and financial wellbeing.
• Total compensation and benefits are reviewed against market data to remain competitive.

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Location & Work Arrangement

• This role is intended as a hybrid position requiring in-office attendance three days per week at a client or confidential client office in Toronto, ON.
• Working arrangements may vary based on project and client requirements; final expectations will be communicated clearly.

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Start Date & Timeline

• Target start: September 2026.
• Applications will be reviewed as received; final start dates depend on business needs and availability.

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Additional Disclosures

• The confidential client will only consider applicants who are legally authorized to work in Canada and do not require employer sponsorship now or in the future.
• Where the original posting referenced screening practices, note: applications managed through Careertakes may be reviewed using a combination of automated tools and human review; final hiring decisions are made by people.
• This posting represents a future-hire pipeline for the confidential client; applying expresses interest in upcoming roles and does not guarantee immediate placement.

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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.