390 - Jr. Software Engineer

About the role

Senior AI Engineer, AI&ET

ARSIEM Corporation positions itself as a trusted collaborator with United States Government entities, delivering high-impact technical programs. The organization maintains a team of seasoned professionals dedicated to exceeding mission objectives. As demand for specialized capabilities grows, ARSIEM provides advanced technical solutions that offer optimal value. This role represents a significant career step, offering substantial opportunities for professional development and direct influence on critical client operations.

The organization seeks a Senior AI Engineer to join the AI and Emerging Technologies (AI&ET) mission. This position requires a demonstrated history in software engineering and a sophisticated grasp of Artificial Intelligence and Machine Learning methodologies. The primary responsibility involves close collaboration with mission stakeholders to translate strategic objectives into actionable plans. The engineer will play a key role in refining the system certification process through the strategic implementation of AI and machine learning tooling. A core function of this role is the development of AI-driven tools focused on Large Language Model fine-tuning. These tools are designed to significantly improve the accuracy and efficiency of vulnerability identification and mitigation efforts. The position is based in Linthicum, Maryland, in support of a vital government client.

This role involves fundamentally reimagining intake procedures for technical requirements. The engineer will architect robust internal tools that convert complex specifications into structured, testable components. This process relies on systematic methodologies and a deep understanding of software architecture. A critical function is the construction of modular services capable of integrating diverse data sources. These services must use core artificial intelligence and machine learning principles to ensure adaptability and performance.

The position requires rigorous oversight of code integration and quality assurance activities. The engineer will conduct detailed reviews of pull requests and associated documentation. This ensures that all deliverables meet established technical standards and are clear for future maintenance by other contributors. Another key duty is the optimization of deployment pipelines. The engineer will streamline the process of moving software builds from initial development through to secure production environments. Success in this area demands a focus on efficiency and reliability.

Effective collaboration with partner organizations is essential for success. The engineer will establish and manage communication patterns with these teams. This alignment is necessary to define technical interfaces and resolve integration challenges as they arise. A significant portion of the role will focus on innovation in the security domain. This includes generating and prototyping utilities that explore fine-tuning Large Language Models for specific tasks. The goal is to enhance automated vulnerability detection capabilities. The engineer will also evaluate the output of security scanning systems. This analysis is used to iteratively refine detection logic and minimize false positives in sensitive environments. The position requires managing iterative development cycles that ensure rapid delivery without compromising validation of AI enhancements.

To qualify for this role, candidates must meet specific educational and experiential criteria. A Bachelor's degree in a relevant technical discipline is mandatory, or equivalent practical experience demonstrating equivalent knowledge. The candidate must possess a minimum of three years of professional software development experience. A strong command of version control systems is required, along with fluency in modern coding standards and practices. Familiarity with major cloud infrastructure and containerization technologies is essential. The ideal candidate can adeptly read complex technical specifications. They must then translate these requirements into functional and reliable software solutions.

What you'll do

• Execute the technical tasks defined for the 390
• Jr. Software Engineer position at Arsiem.
• Translate complex client specifications into functional software components under direct supervision.
• Develop and maintain secure, scalable applications using established programming languages and frameworks.
• Participate in the full software development lifecycle, including coding, testing, and deployment activities.
• Collaborate with senior engineers to review code and provide constructive feedback during pull request evaluations.
• Implement unit tests and integration tests to ensure code reliability and correctness.
• Assist in the maintenance and improvement of existing codebases to support ongoing client operations.
• Monitor application performance and identify opportunities for optimization in runtime environments.
• Support the configuration and administration of development tools and version control repositories.
• Document technical processes and solutions to facilitate knowledge transfer and team continuity.
• Adhere to organizational standards for code quality, security, and documentation.
• Contribute to the resolution of operational issues by analyzing logs and debugging software defects.
• Support the integration of new features into existing systems through careful coordination with the team.
• Apply best practices for software design to create maintainable and efficient solutions.
• Engage in continuous learning to keep pace with evolving technologies and methodologies.

Requirements

• Hold a Bachelor's degree in Computer Science, Information Technology, or a closely related field.
• Possess a minimum of three years of professional software development experience.
• Demonstrate proficiency in at least one modern programming language such as Python, Java, or C#.
• Show competency with version control systems, specifically Git, for managing source code.
• Understand fundamental concepts of cloud computing and container orchestration.
• Ability to interpret detailed technical documentation and specifications accurately.
• Capability to translate high-level requirements into low-level design and implementation.
• Willingness to work within a government contractor environment adhering to strict compliance standards.

Nice to have

• Experience with AI or machine learning frameworks.
• Familiarity with security tools and vulnerability assessment processes.

Practical notes

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Location: USA

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Engagement: Full-time.

• Visa: Candidate must be able to obtain a government security clearance.
• Deadline: No specific deadline mentioned.