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David Joseph & Company

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Founding Engineer

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Summary

First dedicated engineer at a seed-stage AI startup that turns unstructured commercial real estate documents into structured intelligence for institutional owners. You'll build portfolio research/chat tools and reliable agentic LLM workflows end-to-end (TypeScript, React, Python, AWS) on-site in Manhattan.

New York, NY · On-site · Full-time
Compensation: $165K–$185K + 0.75%–1.5% equity

About the Company

Our client is a seed-stage AI company transforming how commercial real estate is managed. Their platform converts unstructured portfolio documents into structured intelligence that institutional owners use to run large property portfolios. Revenue is growing two to three times quarter over quarter, and the company is backed by senior leaders from the real estate industry.

Founded 2024 · 6 people · Industry: AI, Real Estate, B2B Enterprise Software

The Role

Our client is hiring its first dedicated engineer. You'll work directly with the founding team to own the systems at the heart of the product: portfolio research tools and agentic workflows that automate real estate operations. Customers are asking for more automation than the team can build today, so you'll take ideas straight from client conversations and turn them into shipped features.

What you'll be doing

  • Building and owning the portfolio research and chat experience, where clients ask questions across their entire portfolio and run multi-step analysis on complex data
  • Designing agentic workflows, including structured extraction, tool use, and multi-step AI pipelines, that run reliably at scale
  • Putting the right foundations around LLMs in production: evaluations, monitoring, context handling, structured outputs, and graceful failure handling
  • Working with customers and in-house domain experts to find what should be automated, then shipping it end-to-end without a written spec or a designer
  • Growing into the go-to owner for your area of the platform

Tech stack: TypeScript, React, Python, AWS

Requirements

  • Hands-on experience building LLM agents and multi-step AI workflows, including tool calling and the design choices that make agents dependable (handling nondeterminism, managing context)
  • Solid grasp of retrieval-augmented generation
  • Experience designing relational data models for messy, hierarchical real-world information such as documents, versions, entities, and how they relate
  • Strong backend skills in Python on systems built to scale
  • One to three years of professional engineering experience, including founding or early-stage engineering roles
  • A track record of shipping and owning production software for business customers where reliability really matters
  • Experience building vertical AI products for business customers, or document processing systems at scale
  • Comfort taking a feature from idea to production on your own, and keeping stakeholders informed along the way
  • A four-year degree
  • Able to work in the Manhattan office five days a week

Nice to Haves

  • Experience at an early-stage AI company where you owned a production AI system from zero to one
  • Exposure to real estate, finance, or asset management data
  • Experience building evaluation and observability tooling for LLM systems
  • Experience working directly with enterprise customers on sensitive data

Why Join

  • Join as the first dedicated engineer and shape how the core product is built
  • Meaningful equity at the earliest stage of a fast-growing company
  • Work side by side with the founders and real estate domain experts, with immediate customer feedback
  • Real customers already depend on the platform, so your work has impact from day one

Details

  • Location: New York, NY
  • Work policy: On-site five days a week in Manhattan
  • Compensation: $165,000–$185,000 + equity
  • Visa sponsorship: Not available; candidates must be US citizens or Green Card holders
  • Employment type: Full-time

Skills

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See also

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