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
US
About this job
- Pay per year
- $165,000–$185,000 a year
- 12% below the $200,000 median for Founder jobs on Jobera (55 salaries).
- Who can apply
- United States
- Posted
- Today
Listing Details
- First seen
- October 17, 2026
- Last seen
- October 17, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 62%
- Scored at
- October 17, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
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