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Rag Developer Jobs in Connecticut (NOW HIRING)

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

AI Developer Location : Greenwich, CT Hybrid (Need local candidate) Duration : 6+ Months Interview ... Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based ...

CGI Inc.

Agentic AI Developer

Hartford, CT · On-site

This Senior AI Engineer will be instrumental to design, develop, and lead enterprise-grade ... Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems . Review ...

Codeforce 360

Gen AI Engineer

Hartford, CT · On-site

The ideal candidate should have strong expertise in Python, DevOps, Jenkins, GitHub, OpenAI along ... Build LLM-based applications, RAG pipelines, and AI agents. * Create and test AI prototypes and ...

New

ExlService Holdings, Inc.

Manager

Hartford, CT · On-site

Retrieval-Augmented Generation (RAG) * AI Agents and Agentic AI workflows * Prompt engineering and model evaluation frameworks * Experience integrating enterprise applications with AI platforms such ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

The AI Principal Engineer (IC Director) is responsible for leading the design, development, and ... Experience with retrieval-augmented generation (RAG), vector databases, and AI orchestration ...

Pearson

Staff Software Engineer

Hartford, CT · On-site

You will also leverage the latest AI agents and developer toolsets to dramatically expedite product ... Applied experience building AI-enabled product features, including RAG or retrieval-based grounding ...

New

RCN Capital, LLC.

Senior Software Engineer

Windsor, CT · On-site

$121K - $160K/yr

... RAG applications. * Familiarity with LangChain or Semantic Kernel is a plus. Cloud * Strong experience with Azure (App Services, AI Search, Key Vault) and Azure DevOps/GitHub Actions for CI/CD.

TicketNetwork

Senior Software Engineer

South Windsor, CT · On-site

$119K - $156K/yr

... RAG applications. * Familiarity with LangChain or Semantic Kernel is a plus. Cloud * Strong experience with Azure (App Services, AI Search, Key Vault) and Azure DevOps/GitHub Actions for CI/CD.

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Rag Developer information

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

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Infographic showing various Rag Developer job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Lead Data Engineer (Snowflake, Airflow and Graph RAG) - W2 Role

Westport, CT • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

$119K - $143K/yr

Contractor

Re-posted 21 days ago

Job description

Role: Lead Data Engineer (Snowflake, Airflow and Graph RAG)
Location: New York, NY / Westport, CT (Onsite from Day 1)
Job Type: W2 Contract
Project Duration: 12 months
 
 
 
Requirements:
Technical Expertise:
  • Strong proficiency in Snowflake and Airflow (mandatory).
  • Deep knowledge of GraphRAG and Graph Data Structures.
  • Strong background in Data Architecture/Design with experience in market data sources.
 
AI and Integration Experience:
  • Experience integrating heavy AI-driven architectures.
  • Ability to share knowledge with project and client teams on Cypher, Graph, and RAG traversals.
 
Additional Skills:
  • AWS experience is a plus.
 
Responsibilities:
Data Integration and Management:
  • Identify and integrate structured, unstructured, and semi-structured data sources.
  • Implement RBAC and develop logical data models, ensuring compliance and data lineage.
  • Document business transformations and establish data quality rules.
  • Create a comprehensive data catalog and register data assets with metadata.
Design Implementation:
  • Translate and implement the architectural blueprint for the Data Factory.
  • Ensure robust data management and quality to support automated investment processes and AI-driven analytics.
  • Implement Neo4j-powered Knowledge Graph and ensure investment decision traceability.
Advanced Data Solutions:
  • Develop and maintain multi-dimensional asset ontology and temporal versioning.
  • Incorporate GraphRAG for transforming unstructured documents into queryable graph entities.
 
Security and Access Control:
  • Implement property-based access control and oversee real-time data ingestion pipelines.
 
Data Architecture and Management:
  • Oversee scalable data warehousing solutions using Snowflake.
  • Develop frameworks for data quality and governance, including metadata registration and sensitivity/security considerations.
 
 
 
Note: Visa Independent candidates are preferred