Founding Engineer

United States·New Yorkmid

ExecutiveFounder

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Quick Summary

Key Responsibilities

evaluations, monitoring, context handling, structured outputs, and graceful failure handling Working with customers and in-house domain experts to find what should be automated,

Technical Tools

ExecutiveFounder

Responsibilities

~1 min read

→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

~1 min read

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 Have

~1 min read

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

What We Offer

~1 min read

✓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

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

Location & Eligibility

Where is the job

New York, United States

On-site at the office

Who can apply

About this job

Pay per year: $165,000–$185,000 a year; 10% below the $195,000 median for Founder jobs on Jobera (54 salaries).
Who can apply: United States
Posted: 21 days ago
Employer: has 273 open jobs on Jobera in 3 countries.