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Multiplier

AI-powered asset management data platform

Founding Engineer

AI Application Engineering +1Updated on Nov 10
Full-timeNew York, NY, USANo salary listed

About the Job

Requirements

  • At least 2 years of professional software engineering experience.
  • Ability to work across the full stack and take projects from initial concept through implementation and deployment.
  • Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment.
  • Strong product judgment and ability to make thoughtful user-experience decisions when building tools for non-technical users.
  • Ability to take responsibility for significant projects early on.
  • Ability to explain technical decisions and complex concepts clearly to non-technical audiences.
  • Willingness to work in-office five days per week in a demanding, high-intensity environment.
  • Genuine interest in financial markets, investing, and learning the domain.

Responsibilities

  • Build and improve a full-stack artificial intelligence platform that brings investment data, research, models, and workflows into one workspace.
  • Design and implement intuitive user experiences for non-technical users working with AI agents.
  • Work on AI infrastructure, including model routing, post-training providers, benchmarks, and prompt optimization.
  • Build and deploy custom AI workflows, agent capabilities, and factor models for different types of investors.
  • Develop internal tools and automation to improve client onboarding and streamline engineering workflows.
  • Build data pipelines for processing large volumes of documents and integrating alternative data sources.
  • Develop systems for managing authentication and integrations across multiple enterprise platforms.
  • Work directly with clients to understand their needs, solve technical challenges, and turn vague product requests into working features.
  • Debug and improve complex deployments, including on-premises environments and enterprise infrastructure.
  • Improve application performance, reliability, and overall product quality.
  • Review AI agent traces and outputs to identify opportunities to improve prompts and system behavior.
  • Incorporate manual quality assurance into automated testing and continuous integration and continuous delivery workflows.

Desired Qualifications

  • Experience in full-stack engineering roles.
  • Experience in client-facing engineering, product-focused engineering, or Forward Deployed Engineering roles.
  • Experience building AI-powered products, working with AI agents, or integrating language models into applications.
  • Experience working directly with investors, financial data, hedge funds, or investment research.
  • Experience as a professional investor or stockpicker.
  • Interest in founding a company or working in an early-stage startup environment.

About the Company

Multiplier

AI-powered asset management data platform

Multiplier provides an AI-powered data platform and coding agent infrastructure for asset management. It unifies a fund’s proprietary data, financial models, and external streams in a centralized command center, using adaptable coding agents to automate information triage, data visualization, and portfolio exposure tracking; the platform runs in the client’s cloud to keep proprietary strategies confidential. It differentiates itself with a narrow focus on asset management, strong in-cloud security, and a leadership team with deep institutional investing and AI backgrounds, supported by YC and Lux Capital. Its goal is to act as a force multiplier for analysts, expanding stock coverage by shifting effort from information gathering to analysis.

Company size
1-10
Company stage
Seed
Total funding
$6.1M
Headquarters
New York City, United States
Founded
2026

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