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Llm Knowledge Graph Jobs in Colchester, CT (NOW HIRING)

1 point system

AI/ML Engineer

Hartford, CT · Remote

Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production * Implemented GraphRag in AI/ML products that were deployed to production to improve LLM ...

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... LLM-based AI agents, fine-tune pre-trained models, and integrate them into applications. • ... Knowledge Graphs to improve AI agent capabilities. • Collaborate with cross-functional teams to ...

All JobsLlm Knowledge Graph JobsLlm Knowledge Graph Jobs in Colchester, CT

Llm Knowledge Graph information

See Colchester, CT salary details

$40.9K

$63.2K

$95.3K

How much do llm knowledge graph jobs pay per year?

As of Sep 3, 2026, the average yearly pay for llm knowledge graph in Colchester, CT is $63,166.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,900.00 and $69,300.00 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 Colchester, CT are hiring for Llm Knowledge Graph jobs?

Cities near Colchester, CT with the most Llm Knowledge Graph job openings:

Llm Knowledge Graph jobs near you

AI/ML Engineer

1 point system

Hartford, CT • Remote

Contractor

Posted 15 days ago

Job description

Role Overview

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

  • Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
  • Guide the architecture, infrastructure, tools, and processes for AI/ML products.
  • Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
  • Implement GraphRag in AI/ML products deployed to production to improve LLM response.
  • Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
  • Standardize, optimize, and scale products in production environments.
  • Develop rapid prototypes to experiment and evaluate feasibility.
  • Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.

Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.

Technical Skills:

  • Expert-level programming skills in Python/PySpark and Java.
  • Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
  • Experience with public cloud platforms, ideally Azure.
  • Proficiency with containerization and DevSecOps practices.
  • Experience working with semi-structured file formats and NoSQL databases.
  • Understanding of API design, development, and production deployment at scale.
  • Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
  • Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

  • Experience in the healthcare industry.
  • Knowledge of medical terminology and clinical workflows.
  • Contributions to open-source AI/ML projects.
  • A Master's degree.