Junior AI Software Engineer - Mentored, Mission-Driven Tech

Credence Management Solutions, LLC

McLean (VA)

On-site

USD 90,000 - 110,000

Full time

5 days ago

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Benefits offered by this job

Health Care Plan (Medical, Dental &amp

Retirement Plan (401k, IRA)

Life Insurance (Basic, Voluntary &

Paid Time Off (Vacation, Sick &

Family Leave (Maternity, Paternity)

Short Term & Long Term Disability

Training & Development

Wellness Resources

Job summary

Credence Management Solutions, LLC is seeking an Entry-Level AI Software Engineer to join our technology team. Recent graduates or early-career professionals will design, develop, test, and deploy AI-enabled software solutions under mentorship, gaining hands-on experience with cloud platforms, data platforms, and ML concepts to support federal technology programs.

The role emphasizes learning, collaboration, secure coding, and agile practices, with opportunities to work on Generative AI, data

Qualifications

Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
Understanding of software development fundamentals, data structures, algorithms, and object-oriented programming concepts.
Familiarity with software development methodologies such as Agile or Scrum.
Strong analytical thinking and problem-solving abilities.
Excellent written and verbal communication skills.
Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.

Responsibilities

Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
Support the development of scalable backend services, APIs, and data-driven applications.
Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
Participate in AI and machine learning solution development, integration, testing, and documentation.
Work with cloud platforms and modern software development tools to support application delivery.
Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
Develop and maintain technical documentation, user guides, and engineering artifacts.
Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.