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Rag Developer Jobs in Connecticut (NOW HIRING)

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 ...

Agentic AI Developer Category: Software Development/ Engineering Main location: United States ... Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems . Review ...

AI/LLM Engineer

Hartford, CT · On-site

$101K - $203K/yr

This role will focus on building text-based reasoning systems, Retrieval-Augmented Generation (RAG) pipelines, and scalable prompt engineering frameworks that enhance decision-making, automation, and ...

Sr. Java Back-End Engineer

New Hartford, CT · Remote

$124K - $161K/yr

... DevOps on design, testing, and production readiness. * Integrate Generative AI capabilities where applicable (e.g., orchestration, RAG, guardrails, API governance). * Partner with frontend (Next.js ...

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.

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.

... DevOps AI System Debugging & Improvement * Identify whether issues stem from prompting, retrieval (RAG), tool selection, or backend systems * Propose improvements to agents, skills, prompts, and ...

Software Engineer

Hartford, CT · Remote

$72K - $130K/yr

Develop and optimize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion ... Establish and promote engineering standards and best practices for AI development, including code ...

Software Engineer

Hartford, CT · On-site

$72K - $130K/yr

Develop and optimize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion ... Establish and promote engineering standards and best practices for AI development, including code ...

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

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.

What does a RAG engineer do?

A RAG (Red, Amber, Green) engineer develops and maintains systems that use RAG status indicators to monitor project or system health. They often work with data visualization tools, automate status reporting, and analyze performance metrics to support decision-making. Strong skills in data analysis, programming, and understanding of project management are typically required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer, AI research director, or executive roles like AI CTO. These roles often require advanced skills in programming, data analysis, and experience with AI frameworks, and they may involve leadership responsibilities or specialized expertise in cutting-edge AI technologies.

Which 3 jobs will survive AI?

For a Rag Developer, roles that require complex manual craftsmanship, creative problem-solving, and specialized knowledge are more likely to persist despite AI advancements. Jobs involving intricate textile design, custom tailoring, and quality inspection rely on human skills and judgment that AI cannot fully replicate. Developing expertise in these areas, along with staying updated on industry tools, can help ensure job security.
What job categories do people searching Rag Developer jobs in Connecticut look for? The top searched job categories for Rag Developer jobs in Connecticut are:
What cities in Connecticut are hiring for Rag Developer jobs? Cities in Connecticut with the most Rag Developer job openings:
Infographic showing various Rag Developer job openings in Connecticut as of July 2026, with employment types broken down into 100% Contract. Highlights an 60% In-person, and 40% Remote job distribution.

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

Saransh Inc

Westport, CT • On-site

$119K - $143K/yr

Contractor

Posted 6 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