Junior AI Software Engineer

Posted One Month Ago
2 Locations
In-Office
90K-130K Annually
Junior
Information Technology
The Role
Supports the development, testing, and deployment of AI and machine learning pipelines in secure environments. Responsibilities include maintaining ML data ingestion workflows, writing Python and Bash code, containerizing applications with Docker, conducting unit tests and security scans, and participating in Agile ceremonies, code reviews, and backlog refinement.
Summary Generated by Built In

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.

Skills Required

  • U.S. citizenship
  • Active TS/SCI security clearance with Full-Scope Polygraph
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
  • 0-4+ years of software engineering experience
  • Basic familiarity with PyTorch or TensorFlow
  • Understanding of model evaluation and foundational prompt engineering
  • Understanding of supervised and unsupervised learning and feature engineering
  • Practical competency in Python and fundamental scripting tools
  • Experience building and running basic Docker images
  • Working knowledge of Agile, Scrum, or Kanban
  • Basic familiarity with AWS or Azure
  • Exposure to static code analysis and security scanning tools such as SonarQube
  • Master's degree
  • Experience writing automated unit tests and maintaining code repositories
  • Cloud or technical entry certification such as AWS Certified Cloud Practitioner
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The Company
HQ: Chantilly, VA
99 Employees
Year Founded: 2009

What We Do

Dark Wolf Solutions provides DevSecOps agile software development, information operations, penetration testing and incident response, applied research and rapid prototyping, machine learning, and mission support and engineering services to the Intelligence Community, national security, and Fortune 500 customers. By combining the most innovative emerging technologies with deep federal domain expertise, Dark Wolf operates at the nexus of technical innovation and mission needs.

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