Why This Role Stands Out
This hybrid role offers a fantastic opportunity to innovate at the intersection of graph databases and AI, building cutting-edge data platforms with a competitive hourly rate. You'll thrive here if you have extensive experience with Amazon Neptune, SPARQL, and data engineering, and are eager to contribute to groundbreaking Graph RAG pipelines. Apply now to leverage your skills in a dynamic consulting environment!
Quick Overview
Job Description
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
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