Remote AI Engineer for Legal & Compliance Ops

Hidden Jobs

United States

Remote

USD 140,000 - 210,000

Full time

2 days ago
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Benefits offered by this job

Work-from-home arrangement
Bilingual English & Mandarin

Job summary

Hidden Jobs is seeking a specialist engineer to build AI-native tools for legal and compliance teams within a global cryptocurrency platform. The role partners with Legal, Compliance and the MLRO to design retrieval, agentic and evaluation systems that speed up regulatory workflows.

The ideal candidate combines compliance operations knowledge with modern LLM architecture and rapid prototyping in ambiguous problem spaces.

Qualifications

  • 5 years of experience in compliance or legal tech
  • Strong knowledge of compliance rules and day-to-day operations
  • Bachelor's degree or higher in a related field
  • Experience with retrieval-augmented generation systems and related tooling
  • Proficiency in English with strong written and verbal communication

Responsibilities

  • Support internal compliance policy reviews and remediation tracking
  • Coordinate action items across Legal, Compliance and stakeholders
  • Design AI-driven solutions to improve efficiency of legal operations
  • Build LLM-based workflows using retrieval-augmented generation and multi-agent architectures
  • Develop benchmarks and evaluation methods for retrieval quality and latency
  • Prototype new ideas for ambiguous legal and compliance workflow challenges
  • Assist with administrative and operational compliance activities

Skills

Compliance tech
Legal tech
AI/ML basics
LLM architecture
Prompt engineering

Education

Bachelor's degree in AI/CS/Engineering/Law

Tools

Retrieval-Augmented Generation
Embeddings
Vector databases
Hybrid search
Reranking
Chunking
Text preprocessing
Multimodal parsing
Self-RAG
Corrective RAG

Job description

Hidden Jobs is seeking a specialist engineer to build AI-native tools for legal and compliance teams within a global cryptocurrency platform. The role partners with Legal, Compliance and the MLRO to design retrieval, agentic and evaluation systems that speed up regulatory workflows.

The ideal candidate combines compliance operations knowledge with modern LLM architecture and rapid prototyping in ambiguous problem spaces.

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