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

This is an entry-level Frontier Certified Engineer (FCE) program-run role supporting a confidential client in the IT industry. The program trains early-career engineers to work alongside AI-assisted tools, cloud platforms, and modern software delivery practices. You’ll join a cohort-style onboarding and bootcamp, then contribute as part of a small, cross-functional pod on client-facing projects.

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What You’ll Gain

• Structured onboarding with Frontier training and a hands-on engineering bootcamp
• Mentorship from experienced engineers, architects, and AI practitioners
• Practical experience building AI-enabled applications, automation, and cloud-based solutions
• Frontier certifications and continuing technical learning opportunities
• Exposure to responsible AI principles, retrieval workflows, testing, deployment, and monitoring
• Real-world project experience that drives measurable business outcomes

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Responsibilities

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

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Minimum 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 relevant technical experience from coursework, internships, co-ops, research, military service, certifications, capstone projects, hackathons, personal projects, or similar hands-on experiences
• Demonstrated interest in software development, cloud technologies, AI, data engineering, or automation
• Strong analytical, troubleshooting, and problem-solving skills
• Good written and verbal communication skills and the ability to collaborate in a team environment
• Curiosity, adaptability, and a growth mindset with an eagerness to learn quickly
• Ownership mindset and accountability for delivering high-quality work

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Preferred Qualifications

(The following are preferred but not required — we encourage applicants who meet some of these through coursework, projects, internships, or self-study.)

• Experience with one or more programming languages such as Python, Java, JavaScript, TypeScript, or C#
• Exposure to cloud platforms (Microsoft Azure, AWS, or Google Cloud)
• Familiarity with generative AI, large language models, or prompt engineering
• Experience with APIs, automation platforms, databases, or data engineering concepts
• Familiarity with Git and collaborative development workflows
• Hands-on projects, academic or personal, in software development, AI, cloud, or automation
• Interest in responsible AI and continuous technical learning

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Training & Start Date

• 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 in a collaborative pod environment
• Ongoing technical learning, certifications, and professional development will be supported
• Expected start: Summer 2026 — exact dates will be communicated in advance

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Location, Compensation & Benefits

• Work locations: Plano, TX; Charlotte, NC; Teaneck, NJ; Bridgewater, NJ — associates are expected to work from one of these offices and follow hybrid expectations
• Relocation assistance is not provided; apply only if you are currently located in or can relocate at your own expense to one of the listed locations
• Annual base salary: $100,000 USD (Associate-level)
• May be eligible for discretionary annual incentive program based on performance and applicable plan terms
• Benefits include: Medical, Dental, Vision, Life Insurance, Paid Holidays and PTO, 401(k) and employer contributions, Short- and Long-Term Disability, Paid Parental Leave, Employee Stock Purchase Plan, learning & development programs, professional certifications, and employee assistance/wellness resources

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Work Authorization

Due to the nature of this position, the confidential client is unable to provide sponsorship for U.S. work authorization (including CPT/OPT) for this role. Apply only if you have appropriate authorization for employment in the U.S.

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What Success Looks Like

• Quickly learn and apply new technologies in delivery environments
• Contribute to projects that create measurable business value
• Demonstrate strong problem-solving, communication, and collaboration skills
• Continuously grow technical capabilities through training and hands-on experience
• Move toward being able to build, support, and improve AI-native solutions that drive customer success

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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.