Graph Database / Graph RAG Engineer

StratEdge IT Consulting INC; Chicago (IL); Hybrid; USD 55,000 - 69,000; Full time

Benefits offered by this job

Hybrid work set-up

Job summary

INFOSYS is seeking a Graph Database / Graph RAG Engineer in Chicago, IL, with extensive hands-on experience in Amazon Neptune, SPARQL, and data engineering. The role requires designing and operating production-grade graph services and integrating them into Graph RAG pipelines across AWS infrastructure.

The ideal candidate will have a strong background in Python/Java/Scala and a proven track record delivering scalable graph solutions, with a hybrid work setup and collaboration with AI teams to

Qualifications

• Must have hands-on experience designing and managing production-scale graph databases.
• Experience with SPARQL or Gremlin query languages.
• Strong data engineering and ETL pipeline skills.
• Experience integrating graph data into Graph RAG workflows.

Responsibilities

• Build and maintain data platforms using graph databases.
• Communicate with stakeholders and clients to gather requirements.
• Integrate knowledge graphs into Graph RAG pipelines to improve grounding and reduce AI hallucinations.

Skills

Graph Databases

SPARQL

Data Engineering

Graph RAG

Education

Bachelor's/Master's in CS or related

Tools

Amazon Neptune

Gremlin

Python

Java/Scala

AWS

Job description

Nice To Have Skills

• Gen AI integration
• Python Backend API Development

Job Title: Graph Database / Graph RAG Engineer

Work Location: Chicago, IL 60606

Rate: $43/hr w2 or $50/hr c2c

Client: INFOSYS

Position: 2

Contract duration: 6

Target Start Date: 01 Oct 2026

hybrid work set-up

Job Details

Must have skills:

• Amazon Neptune Graph Database
• SPARQL
• Data Engineering / ETL Pipelines
• Graph RAG

Nice To Have Skills

• Gen AI integration
• Python Backend API Development

Job Description

Education Bachelors or Masters degree in Computer Science, Data Science, Information Architecture, or a related field.

Graph Databases Extensive hands on experience designing and managing production scale instances of Amazon Neptune.

Graph languages, specifically Gremlin or SPARQL.

Programming Advanced production coding in Python or JVM environments Java, Scala.

Cloud Infrastructure Strong proficiency with AWS Services e.g., AWS S3, Amazon RDS, Amazon ECS.

Minimum Years Of Experience

>10 years

Certifications Needed :No

Top 3 responsibilities you would expect the Subcon to shoulder and execute

• Should be able to build data platform
• Stakeholder Client Communication
• Integrate knowledge graphs into Graph RAG pipelines to enhance contextual grounding and minimize AI hallucinations. Partner with AI teams to implement hybrid search architectures combining graph traversals with vector databases.

Interview Process (Is face to face required?)

No