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New Grad Ai Software Engineer Jobs in Virginia (NOW HIRING)

AI Software Developer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are ... Drive continuous automation across the business by identifying new opportunities and iterating on ...

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New Grad Ai Software Engineer information

What does a new grad AI software engineer do?

A New Grad AI Software Engineer is an entry-level professional who designs, develops, and tests artificial intelligence systems and applications. They often work with machine learning models, data processing, and software development tools to build intelligent solutions. Their responsibilities may include coding, debugging, collaborating with senior engineers, and staying updated on the latest AI techniques. This role provides valuable hands-on experience and opportunities to contribute to innovative AI projects while learning from experienced colleagues.

What are the key skills and qualifications needed to thrive as a new grad AI software engineer, and why are they important?

To thrive as a New Grad AI Software Engineer, you need a strong background in computer science fundamentals, programming (Python, Java, or C++), and a solid understanding of machine learning concepts, often supported by a relevant bachelor's or master's degree. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data processing tools, and knowledge of cloud platforms like AWS or Azure are typically required. Strong problem-solving abilities, a willingness to learn, and effective teamwork and communication skills help new grads stand out. These skills and qualities enable engineers to contribute to complex AI projects, adapt to evolving technologies, and collaborate effectively within multidisciplinary teams.

What are some common challenges faced by new grad AI software engineers in their first year on the job?

New grad AI Software Engineers often face the challenge of bridging the gap between academic knowledge and real-world application. Adapting to large, production-level codebases, collaborating effectively within cross-functional teams, and learning to balance experimentation with delivery timelines are common hurdles. Additionally, keeping up with rapidly evolving AI technologies while mastering company-specific tools and workflows can be demanding. However, mentorship programs and regular code reviews are typically in place to support new grads as they grow into their role.

What is the difference between New Grad Ai Software Engineer vs Ai Software Engineer?

AspectNew Grad Ai Software EngineerAi Software Engineer
Required CredentialsBachelor's degree in CS, AI, or related field; internship experience preferredBachelor's or Master's degree; 1+ years experience often required
Work EnvironmentEntry-level, collaborative teams, mentorship programsMid-level to senior teams, more independent responsibilities
Employer & Industry UsageTech companies, startups, research labs hiring new graduatesEstablished companies, industry projects, ongoing AI development

The main difference between a New Grad Ai Software Engineer and an Ai Software Engineer is experience level. The new graduate role is designed for recent graduates with limited professional experience, focusing on learning and growth. In contrast, an Ai Software Engineer typically has more experience, handling complex projects independently. Both roles require a strong foundation in AI and software development, but the level of responsibility and independence increases with experience.

What cities in Virginia are hiring for New Grad Ai Software Engineer jobs?

Cities in Virginia with the most New Grad Ai Software Engineer job openings:

Infographic showing various New Grad Ai Software Engineer job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Junior AI Software Engineer

Dark Wolf Solutions

Herndon, VA • On-site

$90K - $130K/yr

Full-time, Contractor

Posted 18 days ago


Job description

Dark Wolf constructs and deploys data management and analytics solutions for the defense and intelligence communities. We're proud to boast a world-class engineering team that thrives on rolling up their sleeves to solve your mission's biggest challenges.
Dark Wolf is seeking a Junior / Entry-Level AI Software Engineer to support the construction, testing, and deployment of artificial intelligence and machine learning pipelines in secure, high-assurance environments. In this role, you will work alongside senior technical leads to maintain data processing workflows, implement foundational software code, and assist in containerizing software components
Key Responsibilities
  • Assist with building and maintaining scalable ML data ingestion pipelines.
  • Support code development and scripting using Python and Bash.
  • Containerize application modules using Docker for deployment.
  • Perform regular unit testing and execute automated security scanning tools to ensure code health and compliance.
  • Participate in daily Agile activities, code reviews, and backlog refinement sessions.

Required Qualifications:
  • Clearance: Must be a US Citizen holding an active TS/SCI security clearance with an active Full-Scope Polygraph.
  • Education: Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master's degree preferred).
  • Experience: 0-4+ years of software engineering experience.

Technical Competencies:
  • AI Frameworks: Basic familiarity with PyTorch or TensorFlow.
  • AI Models: Basic understanding of model evaluation techniques and foundational prompt engineering.
  • Machine Learning: Core understanding of supervised/unsupervised learning concepts and feature engineering.
  • Programming & Scripting: Practical competency in Python and fundamental scripting tools.
  • Containerization: Experience building and running basic Docker images.
  • Agile Frameworks: Working knowledge of Agile, Scrum, or Kanban concepts.
  • Multi-Cloud Architecture: Basic familiarity with cloud platforms such as AWS or Azure.
  • Security Scanning Tooling: Hands-on exposure to static code analysis and security scanning tools (e.g., SonarQube).

Desired Qualifications:
  • Experience writing automated unit tests and maintaining code repositories.
  • Cloud or technical entry certifications (e.g., AWS Certified Cloud Practitioner).

Position Clearance Requirement:
US Citizenship with an active TS/SCI security clearance with Full-Scope Polygraph
Location: Chantilly/Herndon, VA.
Target Salary Range: $90,000.00 - $130,000.00 (Commensurate with specialized expertise and technical skillset).
Equal Opportunity Employer:
We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.
We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.