Applied AI Engineer

About the Role

Join a team building AI infrastructure and customized financial software for institutional investors. You will turn investment workflows into production-ready applications, combining applied AI, full-stack engineering, and close collaboration with users.

What You'll Do

• Build user-facing AI features such as research tools, natural language query interfaces, summaries, and agentic workflows.

• Develop agent orchestration, MCP-connected data sources, and intelligent pipelines that provide access to live financial data.

• Build end-to-end applications for portfolio analytics, risk management, and investment research, from backend APIs to responsive interfaces.

• Create Python services and reliable data pipelines for market data, positions, securities, risk metrics, and research signals.

• Implement performance and risk analytics using time-series and quantitative data operations.

• Contribute to cloud-based deployments, ship quickly, and iterate with investment teams based on their feedback.

What We're Looking For

• Three to eight years of experience as an applied AI engineer, including building agentic AI products for users from initial concept to launch.

• Strong Python and API development skills, with experience using FastAPI, Flask, or Django, plus React and SQL.

• Hands-on experience with LLM APIs, MCP servers, agent frameworks, and prompt engineering, along with a sound understanding of how agentic systems work.

• Familiarity with Azure and modern AI frameworks, and the ability to solve loosely defined problems in fast-moving environments.

• Interest in finance and experience in institutional investing, fintech, or another data-intensive quantitative field.

Compensation & Benefits

Annual salary range: $200,000 to $250,000 USD. Visa sponsorship is available.

Location

Hybrid role based in New York, New York, United States.