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GAGarda Capital Partners

Software Engineer Intern (AI Internal Tools) (m/w/x)

Genf, Zug
VollzeitPraktikumVor Ort
AI/ML
Nejo KI-Zusammenfassung

Developing internal AI tools and backend services for a multi-billion dollar investment firm. Strong technical student with ownership and engineering judgment required. Daily stand-ups, pair programming, and code reviews.

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Anforderungen

  • Strong technical student
  • Thrives on ambiguity
  • Quickly picks up new technologies
  • Takes ownership of code quality
  • Applies solid engineering judgment
  • Tests rigorously
  • Delivers secure, maintainable work
  • Pursuing Bachelor's in Computer Science, Engineering, Mathematics, or Quantitative Finance
  • Demonstrated software-development experience
  • Proficiency in at least one programming language
  • Ability and interest to learn new languages, frameworks, and tools
  • Strong software-engineering fundamentals
  • Knowledge of data structures
  • Knowledge of algorithms
  • Knowledge of debugging
  • Knowledge of testing
  • Knowledge of version control
  • Knowledge of clear code design
  • Interest in building backend services
  • Interest in building APIs
  • Interest in building internal applications
  • Interest in building integrations
  • Interest in building developer tooling
  • Interest in building infrastructure tooling
  • Sound problem-solving skills
  • Good judgment about trade-offs
  • Comfort working in changing environment
  • Clarifies ambiguous requirements
  • Iterates constructively with stakeholders
  • Clear written communication skills
  • Clear verbal communication skills
  • Able to collaborate with technical colleagues
  • Able to collaborate with non-technical colleagues
  • Interest in practical AI systems
  • Interest in AI-enabled development
  • Prior experience with AI platform welcome but not required
  • Prior experience with programming language welcome but not required
  • Prior experience with cloud technology welcome but not required
  • Interest in financial markets is a plus but not required
  • Interest in investment management is a plus but not required

Aufgaben

  • Build and improve internal applications, backend services, APIs, and integrations
  • Contribute to shared AI platform capabilities
  • Deliver production-minded features and services
  • Design, implement, test, and document features
  • Provide deployment support and iterative improvement
  • Evaluate AI models, tools, and internal AI applications
  • Contribute to practical evaluation methods and benchmarks
  • Develop monitoring and feedback loops for AI systems
  • Identify recurring needs and generalizable patterns across teams
  • Turn needs into reusable components, standards, or automation
  • Work with engineers, infrastructure, security, and compliance teams
  • Understand requirements and navigate dependencies with internal users
  • Incorporate feedback into robust solutions
  • Use AI-assisted development tools effectively
  • Maintain ownership of code quality, correctness, and security
  • Ensure code reliability and maintainability
  • Support and improve existing systems
  • Investigate issues in existing systems
  • Improve documentation for existing systems
  • Help make services easier to operate and support

Ausbildung

Laufendes Studium

Sprachen

Englischfließend

Tools & Technologien

AI-assisted development tools

Von Nejo automatisch aufbereitet

Nejo hat diesen Job automatisch von der Website des Unternehmens Garda Capital Partners erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.

Zur Originalanzeige bei Garda Capital Partners

Über das Unternehmen

GA
FinancialServicesGenf

The company 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.

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