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Ai Rag Jobs in Wethersfield, CT (NOW HIRING)

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

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 ...

CGI Inc.

Agentic AI Developer

Hartford, CT · On-site

Define and implement architectures for RAG, agentic, multi-agent, and multimodal systems . Review and guide solution designs to ensure alignment with AI CoE standards and enterprise architecture

Deloitte

Google AI Lead Architect

Hartford, CT · On-site

$55.75 - $76.50/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement context management, retrieval strategies, and observability. * Define end-to-end architectures across data ...

The Hartford

AVP Applied AI, Claims

Hartford, CT · Hybrid

... RAG/assistants, and agentic workflow orchestration). * Be the senior business partner for Claims ... Accountable for AI governance and compliance-by-design across the Claims portfolio, partnering with ...

Infosys

AI Engineer

Hartford, CT · On-site

TensorFlow, PyTorch, LangChain • Expertise In Generative AI, Including RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign ...

Infosys

AI Engineer

Hartford, CT · On-site

RAG (Retrieval-Augmented Generation), AI Agents / Agentic frameworks, Prompt Engineering • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three ...

Amwins

Analytics & AI Intern

Windsor, CT · On-site

$22/hr

... RAG), and AI-powered assistants. • Basic familiarity with Microsoft Power Platform tools (Power Automate, Power Apps, Copilot Studio) is a plus but not required. • Strong knowledge of SQL Server ...

Amwins

Analytics & AI Intern

Windsor, CT

$22/hr

... RAG), and AI-powered assistants. · Basic familiarity with Microsoft Power Platform tools (Power Automate, Power Apps, Copilot Studio) is a plus but not required. · Strong knowledge of SQL Server or ...

Infosys Limited Digital

AI Engineer

Hartford, CT · On-site

$115K - $138K/yr

RAG (Retrieval-Augmented Generation) AI Agents / Agentic frameworks Prompt Engineering Proficiency with Microsoft Azure AI ecosystem Preferred Skill and Experience Experience building Copilot or AI ...

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Ai Rag information

See Wethersfield, CT salary details

$32K

$58.2K

$83.5K

How much do ai rag jobs pay per year?

As of Jul 17, 2026, the average yearly pay for ai rag in Wethersfield, CT is $58,233.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $65,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Researcher, and why are they important?

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.

Which AI is best at RAG?

For an AI Rag role, the best AI systems for Retrieval-Augmented Generation (RAG) tasks typically include models like OpenAI's GPT-4, Google's Bard, and Meta's Llama 2, which are capable of integrating retrieval components with language generation. Success in RAG depends on the model's ability to efficiently access and incorporate external data, as well as the implementation of effective retrieval mechanisms and fine-tuning. Skills in natural language processing, knowledge of retrieval systems, and experience with relevant tools are essential for this role.

What engineer makes 500,000 a year?

Senior software engineers, especially those working in high-demand fields like artificial intelligence or machine learning at large tech companies, can earn $500,000 or more annually. Compensation often includes base salary, bonuses, and stock options, and requires advanced skills, extensive experience, and often a master's or Ph.D. in a related field.

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 data science, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in the field.

What are AI RAGs?

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.

Which 3 jobs will survive AI?

AI Rag is a role that involves managing and interpreting AI outputs, and jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Examples include healthcare professionals, skilled tradespeople, and roles in education. These jobs often require human judgment, interpersonal skills, and adaptability that AI cannot fully replicate.

What are some common challenges faced by AI RAG (Retrieval-Augmented Generation) 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 Wethersfield, CT are hiring for Ai Rag jobs? Cities near Wethersfield, CT with the most Ai Rag job openings:
Ai Rag jobs near you

AI Developer

Kanak Elite Services Inc

Conantville, CT • On-site

Contractor

Re-posted 20 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.