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EL

Senior Software Engineer - AI Platform for the Great Wealth Transfer

Elayne
Posted 1 weeks ago
🇺🇸United States🏠Remote📁Engineering & Development
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About The Role We're looking for a Senior Software Engineer to join our engineering team and own major systems end to end. You'll work directly with our CTO and the founding team, meaning you get real ownership: you influence what to build, build it, and ship it. Why this role is different Estate settlement operates on messy, high-stakes data: legal, financial, and institutional records scattered across dozens of systems that were never built to talk to each other. We’re here to bring peace to families with product that feels accurate and automated. You'll build agentic systems and LLM pipelines where correctness truly matters, because the outputs carry real legal and financial weight. And you’ll build thoughtful product where nothing has existed before. Turning estate settlement into something a grieving family can actually trust, is a fundamentally human and deeply challenging engineering problem. If you've been craving interesting human-centric product and AI problems with real depth instead of building another SaaS app, this is it. What you'll build Solving hard problems: agentic asset and inventory processing, LLM-driven extraction with provenance and confidence, and entity resolution across messy, multi-source data. Make AI trustworthy while dealing with legal and financial stakes. Integrations with the outside world: banks, government systems, legal entities, and data aggregators, stitched into a single real-time view of a family's estate. Brand-new product: some of the most exciting work is still ahead, richer loss support for families, partner interfaces, and plenty more on the roadmap. You'll get to take ideas from zero to shipped and influence what we build next. New systems and foundations: the backend and data platforms behind financial assets, document intake, and real-time progress tracking. And end to end efficient systems designed with sound architecture, observability, and the standards that keep us shipping safely with sensitive data. What we're looking for 5+ years building and shipping production software, strong in TypeScript and/or Python Extra points if you're a generalist who likes wearing many hats, or a former founder who knows what it takes to build something from nothing Experience with LLM pipelines or AI agents, or the ability and appetite to ramp fast A strong bias for correctness and data integrity, especially with sensitive and regulated data High-conviction and low-ego: strong opinions held loosely, and you'd rather seek what’s right rather than win the argument Comfortable in fintech, legaltech, healthtech, or other similar categories is a bonus, as is experience with Postgres and data engineering Real systems-design range: you make sound architecture tradeoffs under ambiguity and own problems end to end How we work We are a small, high-trust team. We care deeply about the people we serve, but we are not precious about process. We move very quickly, communicate directly, and hold a high bar for the quality of the experience we deliver. The work here is highly collaborative. The best ideas often come from being close to the details: a family conversation, a product gap, an operational edge case, or a partner need. We expect people to take ownership of outcomes, pull in the right teammates, and turn what they learn into better systems for everyone . Location and expectations This is a full-time role based with the rest of the team in New York City . This is not a passive 9-to-5 role . We are not looking for performative intensity, but want to be upfront that there will be moments when families, partners, or internal priorities require responsiveness outside typical working hours. The right person is energized by meaningful, high-ownership work and is willing to do what it takes with judgment and care. Equal opportunity Elayne is an equal opportunity employer. We evaluate qualified applicants based on ability, experience, and potential, and do not discriminate on the basis of any protected characteristic under applicable federal, state, or local laws.

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