About Geneva Trading
Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.
About the Role
Geneva Trading is a technology-driven proprietary trading firm where engineering directly impacts performance. We're looking for a senior engineer who can lead the adoption of AI across the organization. Someone who stays on the cutting edge, experiments relentlessly, and ships the practices that actually work to the rest of the team. This is a hands-on IC position for someone who thrives on autonomy, moves fast, and measures their success by how much more effective they make everyone around them.
What You'll Do
- Explore and evaluate. The AI landscape is evolving weekly. You'll stay current on new models, tools, frameworks, and techniques and have the judgment to separate signal from noise.
- Experiment and validate. You'll identify specific problems across the engineering organization, prototype AI-driven solutions, and measure whether they improve outcomes. Not every experiment will work, and that's expected.
- Ship and scale. When something works, you'll package it into workflows, tooling, and best practices that the broader team can adopt. This means writing clean, production-quality code.
- Measure impact. You'll define and track metrics around engineering efficiency — cycle time, developer throughput, time-to-resolution, or whatever matters most to the team. The goal is demonstrable, measurable improvement.
- Lead through influence. You'll drive adoption through training, documentation, and collaboration. You'll need to earn trust by consistently delivering results.
Specific Areas of Focus
- Integrating LLMs and AI assistants into engineering workflows (code review, development, testing, documentation)
- Building automation and orchestration for repetitive or high-friction processes
- Developing internal tools that leverage AI to improve decision-making and productivity
- Evaluating and deploying new AI capabilities as they emerge
What We're Looking For
- Strong software engineering fundamentals. You're an engineer first, with AI as your current focus area
- Proficiency in Python and comfort building production systems
- Experience applying ML/AI in practical, production settings (not just research)
- Familiarity with LLMs, prompt engineering, and the current AI tooling ecosystem
- Ability to work independently, set your own priorities, and manage ambiguity
- Strong communication skills. You'll need to explain what you're doing and why to both engineers and senior leadership
- Curiosity and pace. You genuinely enjoy keeping up with a fast-moving field
Nice to Have
- Experience with agent orchestration frameworks and multi-step AI workflows
- Familiarity with emerging standards and protocols in the AI tooling space (e.g., MCP)
- Background in trading, fintech, or other performance-sensitive environments
- Experience with cloud platforms (AWS, GCP, or Azure)