Position Details

Position Code : RS002

Position Title : Applied AI Engineer

Job Desiscription : Role Overview Our client is looking for software engineers to chart the course of how AI is reshaping institutional finance. You’ll build AI Infrastructure (observability, agent orchestration, expert skills, tools as CLI’s and MCP, data orchestration, and UI component libraries) that are leveraged by some of the world’s most sophisticated hedge funds as part of their AI implementations, working directly with their investment teams to turn complex workflows into elegant, production-grade applications. This role sits at the intersection of AI implementation and financial software. You won’t just use AI tools – you’ll build AI-powered features directly into client platforms: LLM-driven research intelligence, agentic workflows, MCP-connected data sources, and automation layers that compress weeks of analyst work into seconds. The ideal candidate is a strong full-stack engineer who is fluent in modern AI tooling and deeply curious about how hedge funds and asset managers think, invest, and operate. Speed is a core part of the job. Our model is to deliver fully customized platforms in weeks, not months, which means you need to ship with conviction, iterate based on real user feedback, and know when to build from scratch versus leverage proven infrastructure. Key Responsibilities • AI-Powered Feature Development: Build LLM-powered features directly into client-facing platforms, including research intelligence tools, natural language query layers, automated summarization, and agentic workflows that fundamentally 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, Open Claw, Open Code and similar, extending client platforms with live, intelligent data access • 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) that power client-specific data access, analytics, and AI inference • Frontend Development: Build intuitive, responsive user interfaces in React that enable investment teams to interact with complex financial data clearly and efficiently • Data Pipeline Development: Build and maintain ETL pipelines that handle critical financial market data—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 feedback from hedge fund users, and continuously improve, treating speed and quality as complementary, not competing • Kubernetes Deployments: Be able to work fluidly with Kubernetes within each client environment to be able to ship fast and reliable. Seniority • 3 - 8 years of experience as a full-stack SWE or applied AI engineer (institutional investor or fintech) Work experience • Demonstrated record using Agentic AI tooling effectively (e.g., Claude Code, Codex, MCP servers) and experience building user-facing products from 0-to-1 • Relevant institutional investor and/or fintech experience (e.g., Two Signma, DE Shaw, Citadel, P72, Addepar) or other data-first and quantitative fields (e.g., health/bio tech) • AI implementation experience inc. hands on building with LLM APIs, MCP servers, agentic frameworks (Claude Code, OpenClaw, LangChain), prompt engineering etc Hard skill • Strong technical fundamentals including expertise in Python (non-negotiable; API experience using FastAPI, Flask, or Django etc highly preferred) • First principles understanding of the agentic loop used within most agentic frameworks (e.g., Codex, Claude Code, Open Code, Cline, etc) Soft skills • Effective in unstructured environments and can solve loosely defined problems Miscellaneous • Genuine conviction that AI is transforming software (active use of AI tools) and deep interest in finance (how institutional investors think, make decisions, and use tech) Salary $200K - $250K Equity Competitive Visa sponsorship available Open to most visa forms (just not net new $100k H1Bs) Hybrid work policy In-person 4 days (Wed remote) per week in NY (Bryant Park) Full-time position