Junior AI Software Engineer

Darkwolfsolutions; Chantilly, Herndon (VA, VA); On-site; USD 90,000 - 130,000; Full time

Job summary

Dark Wolf builds and deploys data management and analytics solutions for defense and intelligence communities. We are a world-class engineering team focused on solving mission-critical challenges, often in secure environments.

The Junior / Entry-Level AI Software Engineer will work with senior tech leads to construct, test, and deploy ML pipelines, maintain data processing workflows, and containerize components using Docker.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field (Master’s degree preferred).
• 0-4+ years of software engineering experience.
• US citizenship with active TS/SCI clearance and Full-Scope Polygraph.

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.

Skills

Python programming

Unit testing

Agile practices

Education

Bachelor's degree in Computer Science or related field

Master’s degree preferred

Tools

Docker

SonarQube

AWS/Azure

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 and eligibility to work in the United States and to complete the required employment eligibility verification form 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.