Secure AI Engineer — LLM & RAG on Databricks (Remote)

Apex Systems; Mountain Home (NC); Remote; USD 110,000 - 124,000; Full time

Job summary

Everforth Apex Systems is seeking a skilled AI Engineer to support risk decision initiatives on a secure data and AI platform. You will build LLM and document-intelligence capabilities, delivering hands-on solutions for near-term demonstrations in a greenfield setting while ensuring portable, well-documented systems and knowledge transfer to the internal team.

The role spans one year with an option to extend, requiring 8+ years in ML/AI with hands-on Databricks, Python, OCR, and

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical discipline is preferred.
• Eight or more years of experience building applied machine learning, AI, or data systems with delivery of LLM/RAG systems.
• Hands-on experience with Databricks, Python, and large-scale document processing including OCR and layout-aware parsing.

Responsibilities

• Build retrieval-augmented generation (RAG) and document-processing pipelines on the Databricks lakehouse, including ingestion, OCR of mixed-quality sources, chunking, embedding, and retrieval.
• Develop LLM workflows for summarization, structured extraction, and evidence-grounded generation with source attribution.
• Generate synthetic document corpora with fidelity and quality variation for performance evaluation.
• Establish evaluation harness to measure retrieval quality, groundedness, structured-output validity, and manage human-in-the-loop review.
• Package deliverables as jobs and Asset Bundles tracked in MLflow with comprehensive documentation for operational ownership.

Skills

RAG systems

Document processing

Privacy-preserving data generation

LLM workflows

OCR and layout-aware parsing

Education

Bachelor's degree in CS/DS/Engineering

Tools

Databricks

Python

LLM serving environments (vLLM/TGI/Ollama/llama.cpp)

Job description

Everforth Apex Systems is seeking a skilled AI Engineer to support risk decision initiatives on a secure data and AI platform. You will build LLM and document-intelligence capabilities, delivering hands-on solutions for near-term demonstrations in a greenfield setting while ensuring portable, well-documented systems and knowledge transfer to the internal team.

The role spans one year with an option to extend, requiring 8+ years in ML/AI with hands-on Databricks, Python, OCR, and