Mid-Level Applied AI Engineer

About the Role

Build AI-powered financial software for institutional investment teams as part of a team working across AI implementation and full-stack development. You will turn complex research, analytics, and investment workflows into production-ready applications, delivering quickly and incorporating direct user feedback.

What You'll Do

• Develop user-facing AI features, including research intelligence, natural language queries, automated summaries, and agentic workflows.

• Build agentic pipelines, orchestration layers, and MCP-connected data sources using suitable AI frameworks and tools.

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

• Create and maintain Python APIs and reliable ETL pipelines for financial data, including positions, securities, risk metrics, and research signals.

• Build React interfaces that help investment teams work clearly and efficiently with complex financial data.

• Implement performance and risk analytics using time-series and linear algebra tools, and iterate based on user feedback.

What We're Looking For

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

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

• Hands-on experience with LLM APIs, MCP servers, agentic frameworks such as LangChain, and prompt engineering.

• A practical understanding of the agentic loop and a track record of using AI tools effectively to build applications on existing AI infrastructure.

• Experience developing user-facing applications, with a focus on applied engineering rather than model research, training, or fine-tuning.

• Interest in finance and how institutional investors make decisions, ideally supported by experience in institutional investing, fintech, or another data-intensive quantitative field.

• Comfort operating in unstructured environments and solving loosely defined problems.

Compensation & Benefits

Base salary is $200,000 to $250,000 USD annually. Visa sponsorship is available.

Location

Hybrid role based in New York, United States.