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