Senior AI Engineer for Trading & Investment Apps

Madison-Davis, LLC

New York (NY)

On-site

USD 180,000 - 260,000

Full time

14 days+

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Job summary

Madison-Davis, LLC seeks a senior, hands-on Lead Forward Deployed Engineer to design and deliver AI-enabled applications for brokerage, trading, and investment workflows. You will combine Python software engineering with agentic AI development, collaborating with financial-market stakeholders to prototype rapidly and productionize secure AI solutions.

You will bring deep hands-on Python expertise, experience shipping LLM-powered apps, and a strong appreciation for regulated environments,

Qualifications

  • 10+ years in investment, quantitative, software or AI engineering.
  • Strong hands-on Python engineering and LLM delivery experience.
  • Experience with agentic workflows, prompts, embeddings, and API integration.
  • Direct exposure to trading desks, portfolios, or investment researchers.

Responsibilities

  • Design and implement LLM-enabled applications and intelligent agents.
  • Develop production-quality Python apps, integrations, and APIs.
  • Partner with trading, investment, and product stakeholders to identify AI use cases.
  • Rapidly prototype, gather feedback, and improve functionality.
  • Build agentic workflows supporting business activities and approvals.
  • Collaborate with infra and engineering to deploy reliable production apps.
  • Incorporate security, governance, and auditability into AI solutions.
  • Contribute to technical decisions and AI capability adoption.

Skills

Python engineering
LLM development
AI agents
RAG embeddings
API integration
Trading desks experience
Cloud infrastructure
Regulated environments
Stakeholder communication

Education

CFA/FRM or equivalent

Tools

LangChain
LangGraph
LlamaIndex
MCP
Vector databases
GCP
Claude/Anthropic

Job description

Madison-Davis, LLC seeks a senior, hands-on Lead Forward Deployed Engineer to design and deliver AI-enabled applications for brokerage, trading, and investment workflows. You will combine Python software engineering with agentic AI development, collaborating with financial-market stakeholders to prototype rapidly and productionize secure AI solutions.

You will bring deep hands-on Python expertise, experience shipping LLM-powered apps, and a strong appreciation for regulated environments,

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