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Ai Rag Jobs in Putnam, CT (NOW HIRING)

Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications. * Support deployment, monitoring, and lifecycle management of AI models following MLOps ...

AI Architect

Woonsocket, RI ยท On-site +1

GenAI models, AI pipelines, model fine-tuning, prompt engineering, RAG architectures, vector stores, MCP, AI-related frameworks (e.g. Langchain), AI agents (e.g. LangGraph), modern application ...

AI Architect Lead Advisor

Worcester, MA ยท On-site

$55.25 - $75.50/hr

... RAG), semantic retrieval, and model evaluation. โ€ข Experience with secure coding practices, data privacy controls, and compliance-driven systems. โ€ข Previous experience owning on-call or production ...

New

Amazon Connect Architect

Johnston, RI ยท On-site

$64 - $84.25/hr

... AI services including Amazon Bedrock, foundation models, prompt engineering, and RAG architectures Experience in architecting voice, chat, IVR, self-service, and omnichannel customer engagement ...

Amazon Connect Architect

Johnston, RI ยท On-site

$64 - $84.25/hr

... AI services including Amazon Bedrock, foundation models, prompt engineering, and RAG architectures Experience in architecting voice, chat, IVR, self-service, and omnichannel customer engagement ...

Principal Software Engineer

Johnston, RI ยท On-site +1

$135K - $182K/yr

Apply advanced AI solution patterns including: * Retrieval Augmented Generation (RAG) * Prompt engineering * Context management * Agent orchestration * Tool integration * Ensure secure, compliant ...

Principal Software Engineer

Johnston, RI ยท On-site

$135K - $182K/yr

Apply advanced AI solution patterns including: * Retrieval Augmented Generation (RAG) * Prompt engineering * Context management * Agent orchestration * Tool integration * Ensure secure, compliant ...

Ai Rag information

See Putnam, CT salary details

$32.4K

$59K

$84.6K

How much do ai rag jobs pay per year?

As of Aug 7, 2026, the average yearly pay for ai rag in Putnam, CT is $59,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,700.00 and $65,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI researcher?

To thrive as an AI Researcher, you need a strong background in computer science, mathematics, and machine learning, usually with an advanced degree such as a Master's or Ph.D. Proficiency with programming languages like Python, deep learning frameworks (e.g., TensorFlow, PyTorch), and familiarity with scientific research tools is essential. Critical thinking, creativity, and effective collaboration are vital soft skills for generating novel ideas and working in multidisciplinary teams. These skills and qualities are crucial to drive innovation and solve complex problems in the rapidly evolving field of artificial intelligence.

What is the difference between Ai Rag vs Data Analyst?

AspectAi RagData Analyst
Required CredentialsTypically a diploma or certification in AI, machine learning, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, healthcare, and various industries
Employer & Industry UsagePrimarily in AI development and researchAcross industries for data interpretation and decision-making
Common Search & ComparisonYesYes

Ai Rag and Data Analyst roles share overlapping skills in data handling and analysis, but Ai Rag focuses more on AI-specific applications and machine learning, while Data Analysts concentrate on interpreting data to inform business decisions. Both roles are vital in data-driven industries, with Ai Rag often working in AI development environments and Data Analysts supporting strategic insights across sectors.

What is an AI RAG?

AI RAGs, or Retrieval-Augmented Generation systems, are a type of artificial intelligence that combines the power of retrieving information from large databases or documents with generating human-like text responses. This approach allows AI models to provide more accurate, up-to-date, and contextually relevant answers by referencing external data sources during the generation process. RAGs are commonly used in applications like chatbots, search engines, and customer support systems, where comprehensive and factual responses are important.

What are common challenges faced by AI RAG engineers when integrating retrieval systems with large language models?

AI RAG engineers often encounter challenges such as ensuring seamless integration between retrieval systems and language models, maintaining low latency for real-time responses, and handling the quality and relevance of retrieved data. Additionally, tuning the system to balance retrieval accuracy with generative fluency can be complex, especially when dealing with large or unstructured datasets. Collaboration with data engineers, ML researchers, and product teams is essential to address these challenges and optimize system performance.
What cities near Putnam, CT are hiring for Ai Rag jobs? Cities near Putnam, CT with the most Ai Rag job openings:

AI Developer

Kanak Elite Services Inc

Conantville, CT โ€ข On-site

Contractor

Re-posted 10 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of AI Developer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.com .

Job Description

Position           : AI Developer
Location          : Greenwich, CT Hybrid (Need local candidate)
Duration         : 6+ Months
Interview        : ONSITE INTERVIEW IS A MUST

Description

  • The AI Developer will develop, and implement AI-based solutions that support clients digital and data initiatives. The role involves hands-on development using AWS services (such as Amazon Bedrock, SageMaker, Lambda, and S3) and AI technologies including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
  • You will collaborate with data engineering and application development teams to build intelligent, scalable, and secure AI solutions integrated into enterprise systems

Key Responsibilities

  • Develop and maintain AI and machine learning models using AWS Bedrock, SageMaker, and Python-based frameworks.
  • Good to have experience on building AI Agents.
  • Implement and optimize data pipelines, embeddings, and vector search integrations for RAG-based applications.
  • Support deployment, monitoring, and lifecycle management of AI models following MLOps best practices.
  • Work closely with cross-functional teams to integrate AI components into applications and workflows.
  • Assist in evaluating and adopting emerging AI tools and frameworks to improve system performance.
  • Maintain code quality, documentation, and adherence to security and scalability standards.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Engineering or related field.
  • 3–5 years of experience in software or AI development.
  • Proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or Hugging Face.
  • Hands-on experience with AWS cloud services (Bedrock, SageMaker, Lambda, API Gateway).
  • Knowledge of LLMs, embeddings, and vector databases (Pinecone, FAISS, etc.).
  • Understanding of SQL/NoSQL databases and data integration techniques.
  • Strong problem-solving and communication skills.