RAG AI Engineer: End-to-End AI Search & Retrieval

United States Digital Space LLC; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

United States Digital Space LLC seeks a seasoned AI Engineer to design and operate retrieval-augmented generation (RAG) systems, building AI search agents and multi-agent architectures. You will implement end-to-end pipelines and manage vector searches with OpenSearch.

You will ensure grounding and citation, automate evaluation with synthetic QA, and monitor production latency and cost at scale. Strong Python and ML framework skills are required.

Qualifications

• 3+ years of experience in developing AI systems focusing on retrieval-augmented generation (RAG).
• Proven track record building and optimizing end-to-end RAG pipelines.
• Experience with AI search agent development using frameworks like ReAct, LangGraph, Dify, or CrewAI.
• Hands-on experience with OpenSearch or similar vector search technologies.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Strong understanding of data ingestion, chunking, embeddings, and hybrid vector search.

Responsibilities

• Building AI search agents- including ReAct, planning, and multi-agent architectures via custom implementation or frameworks like LangGraph, Dify, or CrewAI.
• Building end-to-end RAG pipelines from ingestion, chunking, embeddings, and hybrid vector search, ideally using Opensearch.
• Operating and monitoring vector/hybrid indexes (e.g. OpenSearch) in production environments.
• Implement grounding and citation to link generated answers back to their exact source passages.
• Automate evaluation using synthetic QA, retrieval-hit-rate tracking, and model-critique loops to continuously measure accuracy and detect drift.
• Orchestrating external tools or knowledge bases and monitoring latency and cost at production scale.

Skills

RAG experience

End-to-end pipeline design

Grounding and citation techniques

Synthetic QA evaluation

Monitoring production environments

Latency & cost monitoring

AI search agent development

Education

Bachelor's or Master's in Computer Science, AI, ML, or related field

Tools

OpenSearch

ReAct

LangGraph

Dify

CrewAI

PyTorch

TensorFlow

Job description

United States Digital Space LLC seeks a seasoned AI Engineer to design and operate retrieval-augmented generation (RAG) systems, building AI search agents and multi-agent architectures. You will implement end-to-end pipelines and manage vector searches with OpenSearch.

You will ensure grounding and citation, automate evaluation with synthetic QA, and monitor production latency and cost at scale. Strong Python and ML framework skills are required.