Frontier Engineer

Client: Client • Phoenix, AZ

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About The Position

The Frontier Engineer uses AI-assisted and augmented development tools to build, test, debug, deploy, and enhance software solutions and scalable, secure systems. The role supports development of AI-enabled applications, agentic workflows, and automation solutions, including context and harness engineering. It also contributes to evaluating AI-generated outputs for quality, accuracy, performance, and business relevance, and to knowledge and context systems, retrieval workflows, testing, deployment, monitoring, documentation, and operational support. The engineer applies responsible AI principles and engineering best practices while continuously learning new tools and technologies.

The position is intended for a recent graduate or early-career professional with technical experience gained through coursework, internships, co-ops, research, military experience, certifications, hackathons, capstone projects, or personal projects. Candidates should demonstrate interest in software development, cloud technologies, artificial intelligence, data engineering, or automation, along with analytical, troubleshooting, problem-solving, communication, collaboration, curiosity, and adaptability skills.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, Engineering, Cyber Security, Mathematics, or a related technical discipline.
• Recent graduate or early-career professional with technical experience gained through coursework, internships, co-ops, research, military experience, certifications, hackathons, capstone projects, or personal projects.
• Demonstrated interest in software development, cloud technologies, artificial intelligence, data engineering, or automation.
• Strong analytical, troubleshooting, and problem-solving skills, and strong written and verbal communication.
• Curiosity, adaptability, and ability to collaborate effectively in a team-oriented environment.
• Experience with one or more programming languages such as Python, R, MATLAB, Java, JavaScript, TypeScript, or C#.
• Exposure to cloud platforms such as 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, software development methodologies, or data engineering concepts.
• Familiarity with source control tools such as Git and collaborative development practices.

Responsibilities

• Use AI-assisted and augmented development tools to build, test, debug, deploy, and enhance software solutions and scalable, secure systems.
• Support the development of AI-enabled applications, agentic workflows, and automation solutions, including context and harness engineering.
• Help evaluate AI-generated outputs for quality, accuracy, performance, and business relevance.
• Contribute to knowledge and context systems, retrieval workflows, testing, deployment, monitoring, documentation, and operational support.
• Apply responsible AI principles and engineering best practices while continuously learning new tools and technologies.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level