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Full Time Neo4J Jobs (NOW HIRING)

Hirekeyz Inc

Agentic AI Developer

Berkeley Heights, NJ · On-site

Berkeley Heights, NJ Duraction: Full Time Agentic AI Developer (Python) -- Vertex AI RAG + Graph ... Integrate agents with Graph DBs (e.g., Neo4j, JanusGraph, Neptune) and Vector DBs (e.g., Vertex ...

Sam's Club

(USA) Staff, Data Scientist

Milpitas, CA

$143K - $286K/yr

BigQuery, Dataflow, Neo4j, Vector DBs, Spark/PySpark. • Decision Science: Reinforcement Learning ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

Sam's Club

(USA) Staff, Data Scientist

Mountain View, CA

$143K - $286K/yr

BigQuery, Dataflow, Neo4j, Vector DBs, Spark/PySpark. • Decision Science: Reinforcement Learning ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

Sam's Club

(USA) Staff, Data Scientist

San Mateo, CA

$143K - $286K/yr

BigQuery, Dataflow, Neo4j, Vector DBs, Spark/PySpark. • Decision Science: Reinforcement Learning ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

Sam's Club

(USA) Staff, Data Scientist

Hayward, CA

$143K - $286K/yr

BigQuery, Dataflow, Neo4j, Vector DBs, Spark/PySpark. • Decision Science: Reinforcement Learning ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

Sam's Club

(USA) Staff, Data Scientist

Sunnyvale, CA

$143K - $286K/yr

BigQuery, Dataflow, Neo4j, Vector DBs, Spark/PySpark. • Decision Science: Reinforcement Learning ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

Sam's Club

(USA) Staff, Data Scientist

Cupertino, CA

$143K - $286K/yr

BigQuery, Dataflow, Neo4j, Vector DBs, Spark/PySpark. • Decision Science: Reinforcement Learning ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

Sam's Club

(USA) Staff, Data Scientist

Fremont, CA

$143K - $286K/yr

BigQuery, Dataflow, Neo4j, Vector DBs, Spark/PySpark. • Decision Science: Reinforcement Learning ... Live Better U is a company paid education benefit program for full-time and part-time associates in ...

Waypoint Human Capital

SWE2 w/ Cloud

Annapolis Junction, MD · On-site

$61.25 - $81.75/hr

SWE2 w/ Cloud Position Type: Full-time, On-Site Location: Annapolis Junction, MD Clearance: Active ... Familiarity with graph databases (Neptune, Neo4j). * Exposure to AI/ML tools (TensorFlow, PyTorch ...

Photon

Data Engineer - Dallas, TX

Dallas, TX · On-site

$113K - $136K/yr

Knowledge of Graph Databases (e.g., Neo4j) to help agents understand complex relationships between ... full time employees. This position is not available for independent contractors No applications ...

AuxoAI Inc

US - Full Stack Engineer

San Francisco, CA · On-site

$120K - $160K/yr

Role Summary This is a full-time hybrid role for a Full Stack Engineer based in the San Francisco ... Neo4J or storage technologies such as AWS S3, Azure Blob Storage. • Hands-on experience managing ...

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Full Time Neo4J information

What is the difference between Full Time Neo4J vs Full Time Data Scientist?

AspectFull Time Neo4JFull Time Data Scientist
Required CredentialsGraph database certifications, knowledge of Neo4JStatistics, programming, data analysis degrees
Work EnvironmentDatabase management, backend developmentData analysis, modeling, predictive analytics
Industry UsageTech, finance, healthcareMarketing, finance, tech

While Full Time Neo4J focuses on managing and optimizing graph databases, Full Time Data Scientist emphasizes analyzing data to derive insights. Both roles require technical skills but differ in their core responsibilities and industry applications.

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Full Time Neo4J jobs near you
Infographic showing various Full Time Neo4J job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Agentic AI Developer

Hirekeyz Inc

Berkeley Heights, NJ • On-site

Full-time

Posted 5 days ago

Job description

Role: Agentic AI Developer
 
Location: Berkeley Heights, NJ
 
Duraction: Full Time
 

Agentic AI Developer (Python) — Vertex AI RAG + Graph/Vector Datastores

Role summary

We’re looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion → retrieval → agent orchestration → evaluation → deployment.

What you’ll do

  • Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
  • Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
  • Integrate agents with Graph DBs (e.g., Neo4j, JanusGraph, Neptune) and Vector DBs (e.g., Vertex Vector Search, Pinecone, Weaviate, Milvus, pgvector).
  • Create robust data ingestion/ETL from PDFs, docs, webpages, and internal sources; implement metadata strategy and access control.
  • Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.
  • Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.

Must-have skills

  • Strong Python (clean architecture, async, testing, typing, packaging).
  • Proven experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).
  • Hands-on with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).
  • Experience with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.
  • Solid knowledge of vector search concepts and at least one vector DB in production.
  • Comfortable with graph data modeling and graph querying (Cypher/Gremlin/SPARQL basics).
  • Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.

Nice-to-have

  • Knowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).
  • Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.
  • Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.
  • Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).