Senior Applied AI Engineer
Senior AI Engineer at Elayne builds the AI intelligence layer for estate settlement: document intelligence, entity resolution, agentic workflows, evaluation, and provenance infrastructure, using Python and LLMs. Onsite at the NoMad, NYC office, working directly with the CEO and Head of Engineering.
- Compensation
- $250K–$300K / yr
- Location
- US
- Work setup
- Onsite
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Ai engineering
- Posted
Skills
Must have
- Built and operated AI systems in production end to end (document intelligence, extraction, agents, retrieval), including evaluation and reliability
- Can talk concretely about evals, regressions, hallucinations, provenance, human escalation, cost, and latency
- Exceptional in Python; can architect pipelines, data systems, APIs, and infrastructure around the models
- Interested in messy problems: ambiguous documents, conflicting sources, entity resolution, imperfect models
- Ownership mindset: moves quickly, cares about production impact, accountable for whether the system works
- Work from the NoMad, New York City office
Full description
About the role
We're looking for a Senior Applied 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.
What you’ll build
- 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 data sources
- Financial discovery workflows: build agents and tool integrations that investigate fragmented financial and government data, identify potential assets, surface missing information, and recommend next steps
- Traceable outputs and human review: connect answers to supporting evidence, validate critical facts, identify uncertainty and conflicting sources, and route consequential decisions for human review
- Evaluation and monitoring: build evaluation datasets, regression tests, and production monitoring to measure quality, understand failures, and assess changes to prompts, models, and pipelines
- Production AI infrastructure: own model selection and routing, data pipelines, latency, cost, retries, and failure recovery so these systems work reliably in real workflows
Errors here have real consequences: a missed account, an incorrect court filing, or a delayed inheritance. You'll build systems that help families make sense of decades of financial information, with accuracy, traceability, and clear paths for review built into the architecture.
Who we’re looking for
- You've shipped and operated AI systems. You've owned at least one production system involving document processing, extraction, retrieval, or agents, from initial development through evaluation, deployment, and ongoing improvement