Software Engineer Intern (AI Internal Tools)
von: Garda Capital Partners
Garda Capital Partners (Garda) is a multi-billion dollar alternative investment firm with over 22 years of experience deploying relative value strategies across fixed income markets for institutional investors. Garda is seeking a Software Engineer Intern (AI Internal Tools) for a 6-month internship, who will report to the AI Lead. The role focuses on building and improving internal systems, tools, and engineering infrastructure that let teams across Garda use AI effectively, safely, and reliably.
This is a hands-on engineering position spanning internal applications, integrations, shared AI platform components, evaluation tooling, observability, and developer workflows — contributing to both new features and existing production systems. It is not model training, quant research, or one-off prototyping; Ideal candidates are strong technical students who thrive on ambiguity, pick up new technologies quickly, and take ownership of code quality. While AI-assisted development tools are used, the intern is expected to apply solid engineering judgment, test rigorously, and deliver secure, maintainable work.
Deliver small, production-minded features and services, including design, implementation, testing, documentation, deployment support, and iterative improvement after release.
Work with engineers, infrastructure, security, compliance, and internal users to understand requirements, navigate dependencies, and incorporate feedback into robust solutions.
Use AI-assisted development tools effectively while maintaining ownership of code quality, correctness, security, reliability, and maintainability.
Pursuing a Bachelor’s in Computer Science, Engineering, Mathematics, or Quantitative Finance
Demonstrated software-development experience through coursework, internships, personal projects, open-source work, or similar practical experience.
Strong software-engineering fundamentals, including data structures, algorithms, debugging, testing, version control, and clear code design.
Sound problem-solving skills and good judgment about trade-offs among speed, quality, reliability, and maintainability.
This is a hands-on engineering position spanning internal applications, integrations, shared AI platform components, evaluation tooling, observability, and developer workflows — contributing to both new features and existing production systems. It is not model training, quant research, or one-off prototyping; Ideal candidates are strong technical students who thrive on ambiguity, pick up new technologies quickly, and take ownership of code quality. While AI-assisted development tools are used, the intern is expected to apply solid engineering judgment, test rigorously, and deliver secure, maintainable work.
Deliver small, production-minded features and services, including design, implementation, testing, documentation, deployment support, and iterative improvement after release.
Work with engineers, infrastructure, security, compliance, and internal users to understand requirements, navigate dependencies, and incorporate feedback into robust solutions.
Use AI-assisted development tools effectively while maintaining ownership of code quality, correctness, security, reliability, and maintainability.
Pursuing a Bachelor’s in Computer Science, Engineering, Mathematics, or Quantitative Finance
Demonstrated software-development experience through coursework, internships, personal projects, open-source work, or similar practical experience.
Strong software-engineering fundamentals, including data structures, algorithms, debugging, testing, version control, and clear code design.
Sound problem-solving skills and good judgment about trade-offs among speed, quality, reliability, and maintainability.
