RegTech AI Scientist — LLM & RAG Pipeline Expert

emergemarket.com

United States

On-site

USD 105,000 - 150,000

Full time

11 days ago

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Job summary

Archer is seeking an experienced Data Scientist to join our next-generation LegalTech/RegTech AI platform, focusing on AI model integration, data pipelines, and knowledge-base engineering. This role blends ML, data engineering, and software development to build scalable pipelines connecting LLMs to structured and unstructured data via RAG and vector stores on AWS, driving regulatory reasoning.

You will collaborate with ML Ops, data teams, and compliance experts to deliver production-ready APIs,

Qualifications

Experience building AI products for LegalTech, RegTech, or compliance automation.
Familiarity with agentic AI frameworks (e.g., OpenAI MCP, CrewAI, LangGraph, or AutoGen).
Background in document intelligence systems, multi-agent orchestration, or knowledge graph integration.
Experience with LangChain, LlamaIndex, or similar frameworks for RAG orchestration.
Hands-on knowledge of MLOps tools and data versioning (DVC, MLflow, Weights & Biases).
Understanding of governance, interpretability, and ethical AI.

Responsibilities

Design, train, and evaluate LLM-based pipelines for document understanding, obligation extraction, and regulatory reasoning.
Implement and optimize RAG architectures, combining LLMs with vector databases for semantic retrieval.
Develop and maintain model fine-tuning workflows, embedding generation, and knowledge distillation.
Collaborate with ML Ops teams to integrate AI models into production-ready APIs and services on AWS.
Measure and improve model precision, recall, latency, and interpretability.
Architect and maintain intelligent Knowledge Bases (KBs) to support AI-driven search, summarization, and compliance reasoning.