Estate settlement, from verified discovery to distribution. Backed by Y Combinator.
About the role
We’re looking for a Senior AI Engineer to build the intelligence layer behind Elayne. Estate settlement is an unusually hard AI problem. The truth about an estate is scattered across wills, tax records, deeds, bank statements, court filings, credit data, government databases, and documents that frequently disagree with each other. We need systems that can understand all of it, connect what belongs together, know when they might be wrong, and show exactly where every answer came from.
What they're looking for
- You’ve built and operated AI systems in production. You’ve owned document intelligence, extraction, agents, retrieval, or other model-driven systems end to end, including evaluation and reliability
- You know reliability is the hard part. You can talk concretely about evals, regressions, hallucinations, provenance, human escalation, cost blowups, latency, and what broke after you shipped
- You’re an engineer first. You’re exceptional in Python and can architect the pipelines, data systems, APIs, and infrastructure around the models without waiting for another team
- You want the messy problems. Ambiguous documents, conflicting sources, entity resolution, imperfect models, and systems where the ground truth itself can be difficult to establish are interesting to you
- You want ownership, not a research sandbox. You move quickly, care about what reaches production, have strong opinions without needing to win the argument, and want to be accountable for whether the system actually works
More about this role
We’re looking for a Senior AI Engineer to build the intelligence layer behind Elayne.
Estate settlement is an unusually hard AI problem. The truth about an estate is scattered across wills, tax records, deeds, bank statements, court filings, credit data, government databases, and documents that frequently disagree with each other. We need systems that can understand all of it, connect what belongs together, know when they might be wrong, and show exactly where every answer came from.
You’ll own that problem end to end: document intelligence, entity resolution, agentic workflows, evaluation, provenance, and the infrastructure that makes probabilistic systems reliable enough for consequential financial and legal work.
The challenge isn’t getting an LLM to produce an answer. It’s building a system we can trust when the answer matters.
You’ll work directly with the CEO and Head of Engineering, with enormous freedom to determine how we solve these problems and what the AI architecture of Elayne becomes.
An AI system that understands an estate: extract and reconcile people, accounts, assets, liabilities, relationships, and legal facts across thousands of messy documents and external...
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