- Design, build, and maintain production-grade AI applications for FMX's exchange business.
- Develop agentic AI workflows utilizing LLMs, tool use, planning, and structured outputs.
- Architect reliable AI application patterns with human-in-the-loop controls and monitoring.
- Evaluate LLM-powered systems using quantitative and qualitative methods, including benchmark design and red-team testing.
- Analyze model behavior, identify failure modes, and implement improvements for accuracy and reliability.
- Build and integrate APIs, data pipelines, and vector databases to support AI application development.
- Apply software engineering best practices, including clean architecture and automated testing.
- Partner with cross-functional teams to translate business needs into technical designs.
- Contribute to technical strategy and architectural decisions for AI platforms and reusable components.
- Mentor other engineers and help raise the team's AI engineering capabilities.
- Bachelor's degree in computer science, machine learning, or a related technical field.
- 5+ years of professional software engineering experience, including production systems.
- 2+ years of hands-on experience developing AI or LLM-powered applications.
- Demonstrated experience building agentic AI systems, including tool-using agents and multi-step workflows.
- Strong programming skills in C++ and Python, with a focus on writing production-quality code.
- Experience with modern LLM development patterns, such as prompt engineering and structured outputs.
- Practical understanding of LLM failure modes and mitigation strategies.
- Experience designing evaluation frameworks for AI applications, including test datasets and scoring methods.
- Hands-on experience with APIs, microservices, and cloud deployment.
- Strong understanding of security, privacy, and responsible AI considerations.
Compensation Expectations: $300,000 - $350,000 Total
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Skills Required
- Bachelor's degree in computer science, machine learning, or a related technical field.
- 5+ years of professional software engineering experience, including production systems.
- 2+ years of hands-on experience developing AI or LLM-powered applications.
- Demonstrated experience building agentic AI systems, including tool-using agents and multi-step workflows.
- Strong programming skills in C++ and Python, with a focus on writing production-quality code.
- Experience with modern LLM development patterns such as prompt engineering and structured outputs.
- Practical understanding of LLM failure modes and mitigation strategies.
- Experience designing evaluation frameworks for AI applications, including test datasets and scoring methods.
- Hands-on experience with APIs, microservices, and cloud deployment.
- Strong understanding of security, privacy, and responsible AI considerations.
What We Do
Cantor Fitzgerald is a leading global financial services firm, serving clients from over 30 offices around the world. Founded in 1945 as a securities brokerage and investment bank, the firm pioneered computer-based bond trading, built one of the broadest distribution networks in the industry and became the market’s premier dealer of government securities. Today, Cantor Fitzgerald is known for its strength across a diverse array of businesses, including equity and fixed income capital markets, investment banking, commercial real estate finance and services, prime brokerage, asset management and wealth management, and e-commerce and online ventures. In all its businesses, the firm is an acknowledged leader in developing advanced technologies to expand market access, and help clients achieve their most important financial and strategic objectives. This commitment to client-centered innovation has led to enduring relationships with many of the world’s most demanding institutional investors and corporations. For more information please visit www.cantor.com.
