Falcon Innovation Partners is a fast-growing AI fintech startup seeking Applied AI Engineers to shape the future of AI in institutional finance. The role involves building AI infrastructure and features integrated into client platforms, enhancing workflows for investment teams with cutting-edge technology.
Responsibilities:
- AI-Powered Feature Development: Build LLM-powered features into client-facing platforms — research intelligence tools, natural language query layers, automated summarization, and agentic workflows that change how investment teams work
- Agentic Tooling & MCP Integration: Design and implement MCP-connected data sources, agentic pipelines, and AI orchestration layers using frameworks like Claude Code, LangGraph, OpenClaw, OpenCode, and similar
- Full-Stack Application Development: Build end-to-end applications tailored to each client's unique portfolio analytics, risk management, and research workflows from backend APIs to responsive frontends
- Backend Services: Design and maintain high-performance APIs using Python (FastAPI or similar) powering client-specific data access, analytics, and AI inference
- Frontend Development: Build intuitive, responsive UIs in React enabling investment teams to interact with complex financial data clearly and efficiently
- Data Pipeline Development: Build and maintain ETL pipelines handling positions, securities, risk metrics, and research signals with reliability and performance
- Financial Analytics: Implement analytics layers for performance and risk calculations using timeseries and linear algebra operations (Pandas, Polars)
- Ship Fast, Iterate Often: Deliver working software in compressed timelines, gather direct user feedback, and continuously improve — treating speed and quality as complementary
- Kubernetes Deployments: Work fluidly with Kubernetes within each client environment to ship fast and reliably