AI-Driven ML Engineer for Financial Services

Cantor Fitzgerald; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Cantor Fitzgerald L.P. is seeking an early-career engineer to help build, evaluate, and improve AI-powered applications for a large-scale financial services business.

Candidates should have strong software fundamentals, hands-on experience with modern AI tools, and curiosity about how language-model systems behave in real products. You will collaborate with product, engineering, and business partners to deliver reliable AI solutions that meet privacy and security requirements.

Qualifications

• Bachelor's degree in a technical field or equivalent practical experience.
• Experience contributing to production or production-like software.
• Strong programming ability in Python with clear, tested, maintainable code.
• Experience with web services, data integrations, testing, logging, and basic monitoring.
• Hands-on experience with LLM tools or frameworks and prompting, tool-calling, retrieval, or multi-step workflows.
• Exposure to testing or evaluating LLM-powered applications and improving prompts or retrieval.

Responsibilities

• Build, evaluate, and improve AI-powered applications for a large-scale financial services business.
• Collaborate with product, engineering, and business partners to deliver reliable AI solutions.
• Address failure modes such as hallucination, grounding issues, and latency.

Skills

Python

LLM frameworks

Web services / data integrations

Testing / evaluation of AI apps

Communication skills

ML fundamentals

Education

Bachelor’s Degree

Tools

LLM tools/frameworks

Testing frameworks

Job description

Cantor Fitzgerald L.P. is seeking an early-career engineer to help build, evaluate, and improve AI-powered applications for a large-scale financial services business.

Candidates should have strong software fundamentals, hands-on experience with modern AI tools, and curiosity about how language-model systems behave in real products. You will collaborate with product, engineering, and business partners to deliver reliable AI solutions that meet privacy and security requirements.