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.

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Overview

Confidential Client is hiring entry-level Frontier Certified Engineers (FCE) as part of a next-generation engineering program focused on AI-augmented delivery. This program combines structured training, hands-on bootcamp experience, mentorship, and real client work to help early-career technologists build skills in AI-assisted development, cloud, software engineering, automation, and modern delivery practices.

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What You’ll Gain

• Structured onboarding and a hands-on engineering bootcamp
• Mentorship from experienced engineers, architects, and AI practitioners
• Practical exposure to AI-enabled applications, cloud, automation, and modern engineering workflows
• Opportunity to earn Frontier (program) certifications and ongoing technical learning
• Real-world project experience delivering measurable outcomes for clients
• A collaborative environment that values curiosity, continuous learning, and growth

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Responsibilities

As a Frontier Certified Engineer, you will:

• 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 the development of AI-enabled applications, automation, and data-driven workflows
• Evaluate AI-generated outputs for quality, accuracy, performance, and business relevance
• Help build knowledge systems, retrieval workflows, and data solutions that improve AI experiences
• Contribute to testing, deployment, monitoring, documentation, and operational support
• Collaborate within a small, cross-functional pod to deliver measurable 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 hands-on experiences
• Demonstrated interest in software development, cloud technologies, artificial intelligence, data engineering, automation, or related fields
• 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 willingness to learn quickly in emerging technology domains
• Ownership mindset and accountability for delivering high-quality work
• Eligibility to work where the role requires (see Additional disclosures)

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Preferred Qualifications

(The items below are helpful but not required. Candidates are encouraged to apply even if they meet only some of these.)

• Experience with one or more 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
• Exposure to APIs, automation platforms, databases, and data engineering concepts
• Familiarity with source control tools such as Git and collaborative development practices
• Experience with academic, personal, or internship projects involving software development, AI, cloud, data, or automation
• Interest in responsible AI and continuous technical learning

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Training & Certification

• Complete the Frontier Center of Excellence assessment covering AI foundations, software engineering, cloud, infrastructure, production delivery, and business fundamentals
• Complete the Frontier engineering bootcamp with hands-on project work in a collaborative pod
• Participate in ongoing technical learning, certifications, and program development activities
• Work alongside experienced practitioners to build skills required for AI-native client solutions

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Total Compensation & Work Arrangement

• Base salary: $100,000 per year
• Eligible for the client’s discretionary annual performance-based bonus and benefits that support physical, mental, and financial wellbeing
• Working arrangement noted in the original posting: hybrid (3 days/week in a client or local office). Exact location and final working arrangement will be confirmed at offer and may vary based on client/project requirements.

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Additional disclosures

• This is an entry-level opportunity intended for recent graduates and early-career professionals.
• Confidential Client requires applicants to meet any location or work-authorization requirements listed for the role. If the role requires eligibility to work in a specific country (e.g., Canada) without employer sponsorship, applicants must meet that requirement.
• Start date, posting close date, and other timeline details will be provided by the hiring organization in the listing or during the process.

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Who Should Apply

• Recent graduates and early-career technologists excited about artificial intelligence, software engineering, cloud technologies, data, automation, and continuous learning
• Candidates who have demonstrated technical initiative through internships, projects, coursework, open-source contributions, hackathons, certifications, or other hands-on experience
• Applicants eager to learn AI-assisted development tools and grow in a collaborative, client-focused environment

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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.