Data Scientist, LLM/RAG Pipelines on AWS (Flexible PTO)

emergemarket.com; Northern (KY); On-site; USD 105,000 - 150,000; Full time

Benefits offered by this job

Health plans

401(k) Plan with company match

Flexible time away

Family leave programs

Job summary

Archer is a leading AI safety and regulatory tech company helping enterprises govern AI models across complex data ecosystems. We are seeking a Data Scientist with a strong background in AI model integration and knowledge-base engineering to advance our LegalTech / RegTech platform.

You will build scalable pipelines, connect LLMs to structured and unstructured data, and deploy in AWS, collaborating with ML Ops and cross-functional teams to deliver production-ready AI solutions that are

Qualifications

• Experience building AI products for LegalTech, RegTech, or compliance automation.
• Familiarity with agentic AI frameworks.
• 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.

Skills

AI model integration

Data pipeline development

KB engineering

AWS deployment

MLOps

Vector databases / RAG

Tools

AWS SageMaker

LangChain

Pinecone

FAISS

Elastic / Elastic Vector Search

Job description

Archer is a leading AI safety and regulatory tech company helping enterprises govern AI models across complex data ecosystems. We are seeking a Data Scientist with a strong background in AI model integration and knowledge-base engineering to advance our LegalTech / RegTech platform.

You will build scalable pipelines, connect LLMs to structured and unstructured data, and deploy in AWS, collaborating with ML Ops and cross-functional teams to deliver production-ready AI solutions that are