Software Engineer (AI Internal Tools)

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. We hire grow and mentor great talent and remain steadfast in our commitment to building a culture that helps them succeed. Garda is more than a workplace. We are built on trust integrity and a shared vision for how we work together the enduring relationships we build and the consistency of our results. Gardas primary offices are located in Wayzata New York City West Palm Beach Geneva Zug Copenhagen Singapore and Scottsdale.

Garda is seeking aSoftware 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; the focus is on maintainable reusable systems for broad internal use.

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.

Position Responsibilities

• Build and improve internal applications backend services APIs and integrations that bring AI capabilities into firm workflows.
• Contribute to shared AI platform capabilities such as gateway services access and identity integrations monitoring observability and support tooling.
• Deliver small production-minded features and services including design implementation testing documentation deployment support and iterative improvement after release.
• Help evaluate AI models tools and internal AI applications; contribute to practical evaluation methods benchmarks monitoring and feedback loops.
• Identify recurring needs and generalizable patterns in work across teams then help turn them into reusable components standards or automation rather than one-off solutions.
• 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.
• Support and improve existing systems by investigating issues improving documentation and helping make services easier to operate and support.

Qualifications & Desired Skills

• Pursuing a Bachelors in Computer Science Engineering Mathematics or Quantitative Finance
• Demonstrated software-development experience through coursework internships personal projects open-source work or similar practical experience.
• Proficiency in at least one programming language and the ability and interest to learn the languages frameworks and tools required for the work.
• Strong software-engineering fundamentals including data structures algorithms debugging testing version control and clear code design.
• Interest in building backend services APIs internal applications integrations or developer/infrastructure tooling.
• Sound problem-solving skills and good judgment about trade-offs among speed quality reliability and maintainability.
• Comfort working in a changing environment clarifying ambiguous requirements and iterating constructively with stakeholders.
• Clear written and verbal communication skills; able to collaborate with both technical and non-technical colleagues.
• Interest in practical AI systems and AI-enabled development. Prior experience with a particular AI platform programming language or cloud technology is welcome but not required.
• Interest in financial markets or investment management is a plus but is not required.

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