AI Engineer Intern

## Launch Your Career in AI Engineering with Geneva Trading Are you a problem-solver with a passion for markets, data, and technology? Geneva Trading is seeking exceptional students to join our Summer 2027 Geneva Trading Internship Program. This is your opportunity to gain hands-on experience at a leading proprietary trading firm where innovation, collaboration, and performance drive everything we do. Over 10 fast-paced weeks, you’ll work on impactful projects, receive one-on-one mentorship, and develop the skills needed to thrive in the world of algorithmic trading. Our internship is a direct pipeline to full-time roles after graduation. ## What You’ll Do - Explore and innovate with new AI models, frameworks, and developer tools to help identify high-potential technologies for internal workflows. - Experiment and prototype specific engineering problems by prototyping AI-driven tools, automation, and assistants alongside senior mentorship. - Assist in tracking metrics around developer efficiency, tool adoption, and solution effectiveness. - Collaborate and share findings, demonstrate prototypes, and collaborate with engineers to help drive technology adoption. - Collaborate with traders and technologists to solve complex, high-impact problems. - Present your work to senior leaders and receive actionable feedback. ## What We’re Looking For We welcome applications from students pursuing Bachelor’s, Master’s, or PhD degrees in: - Financial Engineering, Applied Mathematics, Computer Science, Physics, Statistics, or other STEM fields.Graduation Dates: December 2026 – June 2027 ## Required Skills - Experience with agent orchestration frameworks or multi-step AI workflows. - Interest or background in trading, fintech, or other performance-sensitive environments. - Strong software engineering fundamentals, currently pursuing or recently completed a degree in Computer Science, Data Science, or a related field. - Experience with Claude Code, Codex, Grok Build, and/or Gemini. - Proficiency in Python and comfort with fundamental software development practices. - Hands-on exposure to LLMs, prompt engineering, or modern AI tooling through coursework, research, or personal projects. - Curiosity, fast learning velocity, and an eagerness to tackle open-ended technical challenges. - Strong collaborator with good communication skills and ability to work cross functionally. - Strong communication skills to explain technical concepts and project outcomes to peers and mentors. - Curiosity about financial markets, algorithmic trading, and market microstructure. - Ability to think critically and communicate complex ideas clearly.