Senior Applied AI Engineer

About the Role

Join a software engineering team building AI infrastructure and custom applications for institutional finance. You will work directly with investment teams to turn complex research, analytics, and operational workflows into production-grade software.

What You'll Do

• Build LLM-powered research tools, natural language query features, automated summaries, and agentic workflows.

• Develop MCP-connected data sources, agent pipelines, and AI orchestration layers using modern AI frameworks.

• Build full-stack applications for portfolio analytics, risk management, and investment research workflows.

• Design Python APIs and services for client-specific data access, analytics, and AI inference.

• Create responsive React interfaces that make complex financial data easier to use.

• Build and maintain ETL pipelines for market data, positions, securities, risk metrics, and research signals.

• Implement performance and risk analytics using time-series and linear algebra operations with tools such as Pandas or Polars.

• Support Kubernetes deployments and deliver improvements quickly through direct user feedback.

What We're Looking For

• Three to eight years of software engineering experience, with strong full-stack development skills.

• Experience with Python, React, SQL, Azure, and AI frameworks or tooling.

• Ability to build reliable backend services, data pipelines, and production user interfaces.

• Interest in institutional finance and investment team workflows, such as research, portfolio analytics, or risk management.

• Comfort moving quickly, making sound build-versus-leverage decisions, and iterating with users.

Compensation & Benefits

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

Location

Hybrid role based in New York, United States.