Principal AI/RAG Engineer — Fully Remote Enterprise AI

Intellias; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Unknown leverages AI, data platforms and enterprise-scale information management to enable safe AI adoption in regulated financial environments. As a Principal AI/RAG Engineer you will design and build AI-ready catalogs, semantic layers and retrieval pipelines across on-premise and cloud data estates.

You will own evaluation frameworks, extraction pipelines, provenance and governance for all generated answers, and collaborate with stakeholders in a regulated financial setting from a fully remote

Qualifications

• 6+ years of commercial Python development experience.
• 2+ years building production LLM and RAG systems.
• Strong understanding of retrieval pipelines, vector databases and structured information extraction.
• Experience with evaluation frameworks (Langfuse, RAGAS, DeepEval).
• Hybrid retrieval techniques: keyword search, semantic search and cross-encoder reranking.
• Document processing and extraction pipelines; OCR knowledge.
• Advanced PostgreSQL: relational data modeling, JSONB migrations, data transformations.
• Proven knowledge governance, provenance and traceability.
• Excellent English communication.

Responsibilities

• Design and develop production-grade AI and RAG solutions.
• Build and maintain evaluation frameworks and quality gates for AI systems.
• Enhance retrieval pipelines with hybrid search and metadata-driven filtering.
• Develop document intelligence solutions including parsing, chunking and extraction.
• Create metadata and entity extraction pipelines with confidence scoring and human review workflows.
• Collaborate with client stakeholders in regulated environments.

Skills

Python engineering

LLMs

RAG systems

Data platforms

PostgreSQL

Knowledge graphs

AI governance

English communication

Tools

Langfuse/RAGAS/DeepEval

PostgreSQL

OCR technologies

Job description

Unknown leverages AI, data platforms and enterprise-scale information management to enable safe AI adoption in regulated financial environments. As a Principal AI/RAG Engineer you will design and build AI-ready catalogs, semantic layers and retrieval pipelines across on-premise and cloud data estates.

You will own evaluation frameworks, extraction pipelines, provenance and governance for all generated answers, and collaborate with stakeholders in a regulated financial setting from a fully remote