Senior AI Context Engineer — RAG & Vector Retrieval

GEHA Health; United States; Remote; USD 125,000 - 158,000; Full time

Benefits offered by this job

Health/Vision/Dental benefits

401(k) match

Paid Time Off

Tuition Assistance Program

Hybrid/work-from-home flexibility

Job summary

G.E.H.A Health is seeking a Senior AI Context Engineer in Digital Innovation to turn enterprise data into accurate AI-ready context. You will own extraction, chunking, and retrieval architecture across vector stores and LLM orchestration tools.

You will collaborate with the Sr. AI Solutions Architect and enterprise partners to ensure fast, secure access to business context while adhering to HIPAA/HITRUST requirements. This is a remote opportunity with hybrid/work-from-home options.

Qualifications

• 5+ years of backend software engineering or data-centric development.
• 1–2 years of hands-on GenAI/RAG optimization for LLMs.
• Proficiency in Python and SQL.
• Familiarity with orchestration tools (Airflow, Prefect, Temporal).
• Experience with unstructured content parsing (e.g., LangChain, Unstructured.io).
• Experience with vector stores and semantic search platforms.

Responsibilities

• Extraction & chunking of documents into contextual units for LLMs.
• Semantic search, reranking, and improved retrieval precision.
• Design context services feeding MCP servers and LLM orchestration tools.
• Index design, optimization, and vector store integration for fast retrieval.
• Manage vector metadata tagging and advanced filtering for domain context.
• Evaluate retrieval quality, groundedness, and embedding drift.

Skills

Backend engineering

Applied ML / search

GenAI & RAG

Python

SQL

Orchestration tools

Unstructured parsing

Vector databases

Tools

Pinecone

pgvector

Weaviate

Qdrant

Azure AI Search

LangChain

LlamaIndex

Job description

G.E.H.A Health is seeking a Senior AI Context Engineer in Digital Innovation to turn enterprise data into accurate AI-ready context. You will own extraction, chunking, and retrieval architecture across vector stores and LLM orchestration tools.

You will collaborate with the Sr. AI Solutions Architect and enterprise partners to ensure fast, secure access to business context while adhering to HIPAA/HITRUST requirements. This is a remote opportunity with hybrid/work-from-home options.