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Llm Knowledge Graph Jobs (NOW HIRING)

Futran Tech Solutions Pvt. Ltd.

Software Engineer

Experience with Graph + AI patterns (e.g., GraphRAG, LLM + Knowledge Graph integration) * Exposure to Salesforce ecosystem (APIs, Data Cloud, or platform integrations) * Experience with ontology ...

Point72

Knowledge Engineer

Manhattan, NY · On-site

... graph structures to ensure high performance at scale. • Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows. Qualifications : Required : • 5+ years of ...

Point72

Knowledge Engineer

New York, NY · On-site

$175K - $250K/yr

Optimize queries and graph structures to ensure high performance at scale. * Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows. What's required * 5+ years ...

Point72

Knowledge Engineer

New York, NY · On-site

$175K - $250K/yr

Optimize queries and graph structures to ensure high performance at scale. * Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows. What's required * 5+ years ...

Point72

Knowledge Engineer

Manhattan, NY · On-site

$175K - $250K/yr

Optimize queries and graph structures to ensure high performance at scale. * Develop AI agents and LLM pipelines to automate knowledge extraction and engineering workflows. What's required * 5+ years ...

Mendix

Principal Presales Consultant - Knowledge Graph

$135K - $270K/yr

... enhance LLM accuracy, reduce hallucinations, and enable intelligent automation Connect Mendix ... Knowledge of knowledge graphs, semantic tech, graph databases, or data fabrics Exposure to RAG ...

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Llm Knowledge Graph information

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$41K

$63.3K

$95.5K

How much do llm knowledge graph jobs pay per year?

As of Jun 6, 2026, the average yearly pay for llm knowledge graph in the United States is $63,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $69,500.00 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.

How do knowledge graphs work with LLMs?

Knowledge graphs enhance LLMs by providing structured, interconnected data that improves the models' understanding and reasoning capabilities. Integrating knowledge graphs allows LLMs to access factual information quickly, support more accurate responses, and enable better context management in natural language processing tasks.
More about Llm Knowledge Graph jobs
What cities are hiring for Llm Knowledge Graph jobs? Cities with the most Llm Knowledge Graph job openings:
What states have the most Llm Knowledge Graph jobs? States with the most job openings for Llm Knowledge Graph jobs include:
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Llm Knowledge Graph jobs near you
Infographic showing various Llm Knowledge Graph job openings in the United States as of May 2026, with employment types broken down into 99% Full Time, and 1% Temporary. Highlights an 54% Physical, 4% Hybrid, and 42% Remote job distribution, with an average salary of $63,311 per year, or $30.4 per hour.

Software Engineer

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

Posted 22 days ago

Job description

Role: Software Engineer
Location: Remote
Duration: 6+ Months
Required Skills
  • 8-10+ years of experience in backend development using Java and/or Node.js, with strong hands-on expertise in building scalable systems (Spring Boot / Node frameworks)
  • Strong experience designing and developing RESTful APIs and microservices in distributed architectures
  • Solid understanding of object-oriented design principles and design patterns (e.g., MVC, domain-driven design)
  • Hands-on experience with graph technologies, including Neo4j, and familiarity with graph data modeling and query languages (e.g., Cypher)
  • Experience working on Knowledge Graph or semantic systems, including ontology-driven design and entity relationships
  • Familiarity with modern AI-driven architectures such as semantic routing, MCP servers, and LLM-integrated systems
  • Strong experience with real-time or micro-batch data processing and event-driven architectures
  • Proficiency with CI/CD pipelines and source control (Git) in enterprise environments
  • Experience with cloud platforms (AWS/GCP) and containerized deployments
  • Solid understanding of data modeling (relational and/or graph-based) and data integration patterns
  • Experience working in Agile/Scrum environments with strong collaboration and problem-solving skills
  • Experience with Graph + AI patterns (e.g., GraphRAG, LLM + Knowledge Graph integration)
  • Exposure to Salesforce ecosystem (APIs, Data Cloud, or platform integrations)
  • Experience with ontology management tools and semantic layer design
  • Familiarity with vector databases and embedding-based retrieval systems
  • Experience with data governance, metadata management, or enterprise data platforms
  • Exposure to streaming platforms or advanced observability frameworks for distributed systems

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