Applied AI Engineer - NYC - onsite

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.

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 skills

• 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