Niural
Head of Applied AI
New York City · Exec · Full-time
Sponsorship not specifiedDetected 97 days ago
PythonVector DatabasesMachine LearningNLPLLMsRAGAgentic AILLMOpsLangGraphAI OrchestrationEmployment LawLeadership
About the role
- Our AI agent layer, EMMA, doesn't sit on top of the product, it is the product.
- We process high-stakes, multi-jurisdictional payroll and compliance data where a single error can mean regulatory penalties, missed paychecks, or broken trust.
- Backed by Marathon, M13, and Inspired Capital.
Responsibilities
- Multi-jurisdictional document understanding across 150+ countries, each with distinct payroll rules, tax codes, and employment regulations, in dozens of languages.
- Structured data extraction from payroll and compliance inputs where accuracy isn't aspirational, it's a regulatory requirement. You will build systems where the cost of a hallucination is a compliance violation, not a bad search result.
- Implement hallucination controls, confidence scoring, human-in-the-loop review flows, and audit trails for model-driven decisions.
- Team & Engineering Culture. Set the engineering foundations, code standards, review processes, documentation practices, that will support a growing AI team. You'll be the first dedicated AI hire; the team grows around the standard you set.
- Background in NLP applied to legal, financial, or regulatory document processing, especially multilingual.
Requirements
- Direct experience with RAG architectures, prompt engineering, fine-tuning, and LLM evaluation, including building eval datasets and tracking model performance over time.
- Demonstrated ability to translate ambiguous business requirements into concrete technical approaches and ship them cross-functionally.
- Comfortable with a high degree of ownership in an early-stage environment where the right process needs to be created, not followed.
- Experience with agentic systems and multi-agent orchestration in production- LangGraph, AutoGen, CrewAI or similar (not just toy examples).
- Familiarity with global payroll, employment law, or multi-jurisdictional compliance data.
- Prior experience as an early AI hire at a Series A - C company where you built the function from scratch.
Nice to have
- Experience working with structured and unstructured data in a high-accuracy, low-tolerance-for-error context.
Skills
- AI Infrastructure.
Benefits
- Fintech, HR tech, legal tech, or healthcare strongly preferred.
- Competitive base + significant equity at a high-growth, venture-backed company approaching Series B.
- Comprehensive health, dental, and vision coverage.
- Learning and development budget.
This listing is sourced directly from Niural's careers page and normalized into a canonical job model.