Director AI Engineering

Geneva TradingChicago, IL
Onsite

About The Position

At Geneva Trading, technology isn’t just a support function; it’s a competitive edge. We’re looking for an innovative engineer who can harness the power of AI and machine learning to transform how we trade, analyze, and operate. If you thrive in fast-paced environments, love solving complex problems, and want to see your work directly impact performance, this is your opportunity to make a difference.

Requirements

  • Degree in Computer Science, Engineering, or a related quantitative field.
  • 3+ years of experience in AI, automation, or advanced technology roles.
  • Experience developing agentic AI systems, including agent orchestration, tool integration, and autonomous decision-making workflows.
  • Strong proficiency in Python and familiarity with AI frameworks and libraries.
  • Hands-on experience with MCP and prompt engineering.
  • Understanding AI solutions for deployment and monitoring in enterprise environments is important.
  • Excellent problem-solving and communication skills; ability to work independently and with senior stakeholders.

Nice To Haves

  • Experience with cloud platforms is a plus.

Responsibilities

  • Build intelligent features and autonomous workflows that enhance user experiences.
  • Work with large language models (LLMs), agentic frameworks, and orchestration tools to develop next-generation interfaces and intelligent assistants that support workflows.
  • Build robust orchestration and automation workflows integrating multi-agent capabilities.
  • Develop and maintain pipelines for training, benchmarking, validating, and deploying LLMs and autonomous agents into production environments.
  • Build and optimize intelligent tools and automation systems that improve efficiency and decision-making.
  • Ensure software quality through clean, maintainable, and optimized code, including support for efficient inference.
  • Provide technical leadership on best practices for AI integration, process design, documentation, lifecycle management, and security.
  • Drive adoption of AI solutions through collaboration, training, and thought leadership across teams.
  • Big data analytics with Agentic AI systems to create actionable insights from verified sources.
  • Present insights and outcomes to senior leadership, influencing strategic decisions.

Benefits

  • Eligibility for a performance-based bonus.
  • Competitive total rewards package.
  • Comprehensive benefits program.
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