Senior AI Engineer

Geneva Trading

$200K — $300K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Strong software engineering fundamentals with AI focus
  • Proficiency in Python for production systems
  • Experience applying ML/AI in real-world settings
  • Familiarity with LLMs and current AI tools
  • Ability to work independently and manage ambiguity
  • Strong communication skills for cross-team collaboration
  • Curiosity about the fast-moving AI landscape

Responsibilities

  • Explore and evaluate the evolving AI landscape
  • Experiment and validate AI-driven solutions
  • Ship and scale successful experiments into workflows
  • Measure impact through defined engineering metrics
  • Lead AI adoption through training and collaboration
  • Integrate LLMs and AI assistants into engineering workflows
  • Develop internal tools leveraging AI for productivity

Benefits

  • Comprehensive benefits program
  • Performance-based bonuses
  • Competitive total rewards package
  • Opportunities for training and professional development
  • Collaborative and innovative work environment
Full Job Description
Senior AI Engineer - Geneva Trading, Chicago

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)

Compensation

Base Salary Range: $200,000 - $300,000, plus eligibility for a performance-based bonus.

Final compensation will be determined based on the candidate's skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/

Application expected to close: 6/27/26

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