Intern/Software Engineering

CALIBRE is an employee-owned, mission-focused solutions and digital transformation company.  We are seeking a Software Engineering Summer Intern to support the CALIBRE Innovation Center in the design, development, integration, and testing of emerging software solutions. This intern will work with a cross-functional team of software engineers, data scientists, and analysts supporting rapid prototyping and application development efforts, including AI-enabled solutions, service integrations, and cloud-based platforms.

This role is ideal for a candidate with a strong interest in Python-based software development, AI/ML libraries, application integration, and cloud technologies, especially AWS. The intern will contribute to fast-moving projects involving prototype development, feature implementation, code reviews, testing, and technical documentation.

This position is expected to be onsite or hybrid located in Alexandria, Virginia 

What You'll Do

As a Software Engineering Summer Intern, you may support activities such as:

• Assist in designing, building, and testing software applications and prototypes using Python
• Support development of AI-enabled tools and workflows using modern AI/ML libraries and frameworks
• Help integrate external and internal services through APIs, web services, and other application interfaces
• Contribute to rapid prototyping efforts for new product concepts, internal tools, and proof-of-concept solutions
• Participate in Agile team activities, including sprint planning, standups, backlog refinement, and technical reviews
• Collaborate with software engineers, analysts, and data scientists on feature development and solution design
• Perform unit testing, functional testing, debugging, and defect resolution
• Participate in code reviews and incorporate feedback into iterative improvements
• Help create and maintain technical documentation, developer notes, and user-facing documentation
• Support deployment and development activities in cloud environments, including AWS
• Contribute to software quality, maintainability, and secure development practices

Required Skills

• Currently pursuing a Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field
• Familiarity with software development fundamentals, including object-oriented programming, version control, and debugging
• Experience developing in Python
• Familiarity with AI/ML development concepts and common libraries or frameworks
• Exposure to service integration, including REST APIs, web services, or system-to-system interfaces
• Familiarity with one or more cloud platforms, preferably AWS
• Interest in rapid prototyping, application development, and turning ideas into working software
• Interest in code reviews, testing, and documentation
• Strong problem-solving, communication, and teamwork skills
• Ability to work effectively in a collaborative, fast-paced environment

Preferred Qualifications

• Experience with AI libraries, frameworks, or tooling used in application development
• Exposure to cloud-native development or deployment practices in AWS
• Familiarity with Git-based development workflows and CI/CD concepts
• Experience with scripting, automation, or lightweight full-stack application development
• Familiarity with secure software development, DevSecOps, or software quality practices
• Prior coursework or project experience involving:
• • prototyping AI-enabled applications
  • integrating multiple services or data sources
  • testing and documenting software solutions
• Agentic Coding development experience is a plus

required Experience

The ideal candidate is curious, hands-on, and excited to build. They enjoy experimenting with new technologies, learning quickly, and contributing to practical software solutions. They are especially interested in:

• building and refining working prototypes
• developing Python applications
• integrating services and APIs
• applying AI libraries to real use cases
• improving code quality through testing and review
• documenting work clearly for teammates and stakeholders