Python Developer
New York, NY, United States • Posted May 28, 2026
Job Type:
Full-time
Location:
New York, NY
Posted:
May 28, 2026
Category:
other-general
Application Deadline:
June 08, 2026
Role Description
Job Description
Insight Global is seeking an Python Developer for a top financial services client within Equities Technology. This is a high-visibility, hands-on role focused on expanding an LLM-enabled workflow platform supporting research, sales, and trading teams. The ideal candidate combines strong backend engineering fundamentals with experience building data-intensive or AI-powered applications in regulated environments. This individual will work closely with product, engineering, compliance, and business stakeholders to deliver scalable, governed, and production-ready solutions. This is a hybrid opportunity requiring 3 days a week onsite.
Day-to-Day:
•Partner with product, business, and technology stakeholders to translate requirements into technical designs
•Design, build, and maintain backend services, APIs, and workflow orchestration for research, sales, and trading use cases
•Expand and scale LLM-enabled workflows including summarization, Q&A, drafting, ...
Insight Global is seeking an Python Developer for a top financial services client within Equities Technology. This is a high-visibility, hands-on role focused on expanding an LLM-enabled workflow platform supporting research, sales, and trading teams. The ideal candidate combines strong backend engineering fundamentals with experience building data-intensive or AI-powered applications in regulated environments. This individual will work closely with product, engineering, compliance, and business stakeholders to deliver scalable, governed, and production-ready solutions. This is a hybrid opportunity requiring 3 days a week onsite.
Day-to-Day:
•Partner with product, business, and technology stakeholders to translate requirements into technical designs
•Design, build, and maintain backend services, APIs, and workflow orchestration for research, sales, and trading use cases
•Expand and scale LLM-enabled workflows including summarization, Q&A, drafting, ...
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