Data & AI Specialist: RAG, Vector Search & Graphs

Alois Uk; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

ALOIS Australia is seeking a Data & AI professional to drive advanced document intelligence and NLP initiatives. You will design pipelines for ingestion, OCR, and metadata extraction, and implement Iceberg-backed vector search and retrieval for enterprise-scale workflows.

You will also model knowledge graphs, use NetworkX for graph analytics, and contribute to hybrid retrieval that combines semantic models with graph and metadata context to power RAG-enabled solutions.

Qualifications

• Hands-on experience with document ingestion, OCR, and metadata extraction.
• Strong knowledge of NLP and vector-based retrieval systems.
• Experience with Iceberg-based vector storage and search.
• Experience designing knowledge graphs and graph queries.

Responsibilities

• Document Intelligence & NLP pipelines: ingestion, parsing, OCR, classification, extraction.
• Work with Iceberg for vector storage, indexing, and retrieval of embeddings.
• Develop vector and retrieval systems, embedding generation, and hybrid search.

Skills

Document Intelligence

NLP

Vector Search

RAG

Knowledge Graph

Graph Analytics

Python

Hybrid Retrieval

Tools

Apache Iceberg

Apache Ossie

NetworkX

Cypher/GQL

Job description

ALOIS Australia is seeking a Data & AI professional to drive advanced document intelligence and NLP initiatives. You will design pipelines for ingestion, OCR, and metadata extraction, and implement Iceberg-backed vector search and retrieval for enterprise-scale workflows.

You will also model knowledge graphs, use NetworkX for graph analytics, and contribute to hybrid retrieval that combines semantic models with graph and metadata context to power RAG-enabled solutions.