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Llm Knowledge Graph Jobs in Atco, NJ (NOW HIRING)

... knowledge graph aware retrievalwhile enforcingcontent rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and orchestrate ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

... and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

... knowledge graph aware retrievalwhile enforcingcontent rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and orchestrate ...

Senior ML Ops Engineer

Philadelphia, PA · On-site

$112K - $179K/yr

... and knowledge graph aware retrieval while enforcing content rights and editorial confidentiality. Key Responsibilities ML & LLM Engineering, Search and Recommendation Engines * Automate and ...

Senior AI Engineer

Philadelphia, PA · On-site

$123K - $163K/yr

Develop and maintain graph databases (GraphDB, Neo4j, Stardog) in production or advanced PoC setups ... Expertise in vector databases and LLM API integration. * Knowledge of NL-to-SPARQL/NL-to-SQL ...

Automation Developer

Camden, NJ · On-site

$104 - $143/hr

... LLM technologies, and AI agents. * Experience developing applications, workflows, copilots, agents, and integrations using Microsoft 365, Microsoft Graph, Dataverse, APIs, and connectors. * Knowledge ...

... LLM technologies, and AI agents. Experience developing applications, workflows, copilots, agents, and integrations using Microsoft 365, Microsoft Graph, Dataverse, APIs, and connectors. Knowledge of ...

... LLM technologies, and AI agents. • Experience developing applications, workflows, copilots ... Graph, Dataverse, APIs, and connectors. • Knowledge of AI concepts including prompt engineering ...

Automation Developer

Camden, NJ · On-site

$104K - $143K/yr

... LLM technologies, and AI agents.Experience developing applications, workflows, copilots, agents, and integrations using Microsoft 365, Microsoft Graph, Dataverse, APIs, and connectors.Knowledge of AI ...

Llm Knowledge Graph information

See Atco, NJ salary details

$40.7K

$62.9K

$94.9K

How much do llm knowledge graph jobs pay per year?

As of Aug 29, 2026, the average yearly pay for llm knowledge graph in Atco, NJ is $62,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $69,100.00 per year, depending on experience, location, and employer.

What is the difference between Llm Knowledge Graph vs Data Scientist?

AspectLlm Knowledge GraphData Scientist
Required CredentialsKnowledge of NLP, graph databases, machine learningStatistics, programming, data analysis
Work EnvironmentResearch labs, AI companies, tech firmsCorporate, consulting, research institutions
Industry UsageAI, knowledge management, semantic webBusiness analytics, predictive modeling

While both roles involve data and machine learning, Llm Knowledge Graph specialists focus on building interconnected knowledge bases using NLP and graph technologies, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap in AI projects but serve different core functions within organizations.

What cities near Atco, NJ are hiring for Llm Knowledge Graph jobs?

Cities near Atco, NJ with the most Llm Knowledge Graph job openings:

Infographic showing various Llm Knowledge Graph job openings in Atco, NJ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $62,906 per year, or $30.2 per hour.

Senior Data and AI Engineer (Insurance Domain)

Philadelphia, PA • On-site

Accord Technologies Inc.
IT Services • 51 - 200 employees

$115K - $138K/yr

Contractor

Re-posted 16 days ago


Job description

Senior Data and AI Engineer (Insurance Domain)
Location:  Philadelphia, PA
Position type: Onsite role (need NJ, PA based candidates who can join immediately)
Tax type: W2 contract

Candidate should be available to start by next week.

Job Description:
The role owns the full technical stack from the architecture slide: connectors and ingestion framework, OneLake Medallion staging, GraphDB triple store, Vector Index, Agentic RAG orchestrator, LLM gateway, guardrails, and the consumption UI with conversational chat, SPARQL trace explainability, and graph explorer.

Knowledge Graph & Semantic Technologies (Must-Have)

•            3+ years hands-on experience with graph databases (GraphDB, Neo4j, Stardog)in a production or advanced PoC context

•            Working proficiency with semantic web standards

•            Experience loading, validating, and querying ontologies in a triple store environment

•            Familiarity with ontology authoring tools (Protégé, Metaphactory) sufficient to collaborate with the Data Consultant on model iterations

AI / ML Engineering & LLM Integration (Must-Have)

•            Demonstrated experience building RAG (Retrieval-Augmented Generation) pipelines, ideally with agentic orchestration patterns

•            Hands-on experience with vector databases (Azure AI Search, pgvector, Pinecone, Weaviate, or Qdrant) for embedding and retrieval

•            Experience integrating LLM APIs (Anthropic Claude, OpenAI GPT, or Azure OpenAI) with prompt engineering, guardrails, and citation enforcement

•            Familiarity with NL-to-SPARQL or NL-to-SQL generation techniques, including few-shot prompting and schema-grounding approaches

•            Understanding of AI safety guardrails: prompt injection defense, output sandboxing, and confidence scoring

Delivery & Collaboration (Must-Have)

•            Comfortable operating in an accelerated 8-week delivery timeline with weekly milestone gates and hard dependencies

•            Ability to work closely with a Data Modeller/Ontologist to translate conceptual models into working technical implementations

•            Experience in financial services or insurance data environments is preferred but not required, provided strong technical depth in the above areas

Data Engineering & Microsoft Fabric (Good to-Have)

•            Strong Python engineering skills with experience building data pipelines, ETL/ELT processes, and metadata ingestion frameworks

•            Experience with Microsoft Fabric ecosystem: OneLake, Lakehouse, Notebooks, Data Factory / pipelines, and Medallion architecture (Bronze/Silver/Gold)

•            Familiarity with JDBC/ODBC connectors, REST API integration, and file parsing (Excel, CSV, JSON) for metadata extraction

•            Experience with Trino, Databricks SQL, or equivalent federated query engines