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.
Director of AI Engineering– Geneva Trading- Chicago
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.
What You’ll Do
- In this role, you will build intelligent features and autonomous workflows that enhance user experiences.
- You will 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.
What We’re Looking For
- 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.
- Experience with cloud platforms is a plus.
Compensation
Base Salary Range: $250,000 – $350,000, 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
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Similar Jobs at Geneva Trading
What you need to know about the NYC Tech Scene
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
