Applied AI Engineer: Finance Analytics & AI Apps

True; New York (NY); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Visa sponsorship

Job summary

Join a team in New York building AI infrastructure and custom software for institutional finance, turning research workflows into production-ready applications. You will deliver user-facing AI features, agentic workflows, and full-stack applications for portfolio analytics, risk management, and investment research, with Python APIs, ETL pipelines, and modern AI tooling.

We value experience with LLMs, LangChain, FastAPI/Flask/Django, React, SQL, and cloud infrastructure; visa sponsorship is

Qualifications

• Three to eight years of experience building applied AI products, including user-facing agentic features from concept to launch.
• Strong first-principles understanding of agentic workflows and capable use of AI development tools.
• Proficiency in Python and API development with FastAPI, Flask, or Django; experience with React, SQL, and cloud/AI infrastructure.
• Hands-on experience with LLM APIs, MCP servers, agent frameworks such as LangChain, and prompt engineering.
• Experience building applications on existing AI infrastructure, not primarily model training or research.
• Interest or experience in institutional finance, fintech, quantitative work, or data-intensive fields, with curiosity about investment decisions.

Responsibilities

• Build user-facing LLM features such as research intelligence, natural-language querying, automated summaries, and agentic workflows.
• Develop agent orchestration, MCP-connected data sources, and integrations using modern AI frameworks and tools.
• Build full-stack applications for portfolio analytics, risk management, and investment research from backend APIs to responsive interfaces.
• Design and maintain Python APIs and reliable ETL pipelines for positions, securities, risk metrics, and research data.
• Implement financial analytics and performance or risk calculations using time-series and linear algebra tools.
• Deploy and iterate on production software, incorporating user feedback while balancing speed and quality.

Skills

Applied AI product development

Agentic workflows

Python API development

React/Frontend

LLM APIs

LangChain / prompt engineering

Job description

Join a team in New York building AI infrastructure and custom software for institutional finance, turning research workflows into production-ready applications. You will deliver user-facing AI features, agentic workflows, and full-stack applications for portfolio analytics, risk management, and investment research, with Python APIs, ETL pipelines, and modern AI tooling.

We value experience with LLMs, LangChain, FastAPI/Flask/Django, React, SQL, and cloud infrastructure; visa sponsorship is