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Internship Retrieval Augmented Generation Jobs in Connecticut

HomeServe

AI Solutions Architect

Norwalk, CT · On-site

$125K - $167K/yr

Establish architectural patterns for large language model deployment, model services, retrieval-augmented generation, grounding, inference, and prompt management. * Provide architectural guidance for ...

Voya Financial, Inc.

AI Principal Engineer

Windsor, CT · On-site

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

HomeServe USA

AI Solutions Architect

Norwalk, CT · On-site

$63.25 - $83.50/hr

Establish architectural patterns for large language model deployment, model services, retrieval-augmented generation, grounding, inference, and prompt management. * Provide architectural guidance for ...

FAVARH

AI Principal Engineer

Windsor, CT · On-site +1

Lead the design, development, and deployment of complex AI solutions, including LLM-based applications, retrieval-augmented generation (RAG) pipelines, and model-driven services. * Own technical ...

Kanak Elite Services Inc

AI Developer

Conantville, CT · On-site

... 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 ...

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... retrieval-augmented generation (RAG). • Strong understanding of NLP, deep learning, and model fine-tuning techniques. • Experience working with MLOps, cloud-based AI deployment (AWS/GCP/Azure ...

INA Solution Inc

CCaaS Architect

Orange, CT · On-site

Architect GenAI use cases with LLMs, Retrieval-Augmented Generation (RAG), agent assist, summarization and knowledge automation. * Define hallucination controls, prompt guardrails, safety monitoring ...

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Internship Retrieval Augmented Generation information

What is an internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

What is the difference between Internship Retrieval Augmented Generation vs Internship Data Analyst?

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Connecticut?

The most popular types of Retrieval Augmented Generation jobs in Connecticut are:

What are popular job titles related to Internship Retrieval Augmented Generation jobs in Connecticut?

For Internship Retrieval Augmented Generation jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Internship Retrieval Augmented Generation jobs in Connecticut look for?

The top searched job categories for Internship Retrieval Augmented Generation jobs in Connecticut are:

What cities in Connecticut are hiring for Internship Retrieval Augmented Generation jobs?

Cities in Connecticut with the most Internship Retrieval Augmented Generation job openings:

Internship Retrieval Augmented Generation jobs near you
Infographic showing various Internship Retrieval Augmented Generation job openings in Connecticut as of August 2026, with employment types broken down into 71% Full Time, 27% Part Time, and 2% Contract. Highlights an 65% Physical, 2% Hybrid, and 33% Remote job distribution.

Sr AI/ML Engineer Remote Nationwide or Hybrid in MN or DC or CT

Hartford, CT • On-site, Remote

UnitedHealth Group
Insurance Services • 10K+ employees

7.6

Company rating: 7.6 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

192nd of 898 rated healthcare providers

Good employer

Recommended by students

Recommended by parents

Learn more about UnitedHealth Groupexternal

$105K - $144K/yr

Full-time

Retirement

Posted 26 days ago

Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.

Join our dynamic software development team within UHC E&I Technology, where you will contribute to the design and delivery of AI-enabled solutions supporting Sales and Distribution modernization. In this role, you will focus on building and enhancing scalable components for sales workflows, distribution platforms, API integrations, and automation pipelines, leveraging cutting-edge AI-driven and agentic workflow capabilities. As a Senior AI/ML Engineer, you will develop and deploy machine learning models, generative AI solutions, and Retrieval-Augmented Generation (RAG)-based systems that improve sales intelligence, operational efficiency, and decision-making across our employer, broker, and enrollment ecosystems. This is an exciting opportunity to work with innovative technology, translate business requirements into enterprise-grade technical solutions, and ensure high performance, reliability, and security within a collaborative, global team.

You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.  

For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.


This position is remote nationwide or hybrid in MN or DC or CT

Primary Responsibilities:

  • Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
  • Evaluate emerging trends to inform solution design and strategic innovation
  • Contribute to the design and delivery of AI-enabled solutions supporting Sales and Distribution modernization, including integration across employer, broker, and enrollment ecosystems
  • Build and enhance scalable components for sales workflows, distribution platforms, API integrations, and automation pipelines, including AI-driven and agentic workflow capabilities
  • Develop and deploy machine learning models, generative AI solutions, and retrieval-augmented generation (RAG) systems that improve sales intelligence, operational efficiency, and decision-making
  • Support system performance, reliability, and scalability, and contribute to model evaluation and monitoring
  • Ensure adherence to enterprise Responsible AI principles, governance, and security/compliance standards
  • Collaborate with cross-functional and offshore development teams, participate in design and code reviews, and drive high-quality execution within defined project scope

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. 

Required Qualifications:

  • Bachelor's degree or 4 years of equivalent software engineering experience
  • 8 years of professional experience in software engineering
  • 2 years of hands-on experience building, deploying, and maintaining AI/ML systems in production environments
  • 2 years of experience in enterprise application development, including API integrations and microservices architectures
  • Working experience with Generative AI models (e.g., GPT-based models), Retrieval-Augmented Generation (RAG) pipelines, or agentic workflow frameworks
  • Required Qualification: Must be authorized to work in the United States without the need for current or future employer-sponsored visa sponsorship (e.g., H-1B, TN, F-1/OPT, CPT, or other employment-based visa status).

Preferred Qualifications:

  • Master's degree in Computer Science, Engineering, or a related field
  • Practical experience with model evaluation, performance monitoring, and MLOps practices
  • Experience working in distributed or offshore team environments
  • Solid understanding of sales and distribution systems or enterprise platform integrations (including CRM, enrollment, or broker ecosystem integration patterns)
  • Familiarity with enterprise AI governance, Responsible AI principles, and security/compliance requirements
  • Proven solid problem-solving skills and the ability to translate business requirements into technical solutions
  • Proven excellent communication and collaboration skills in cross-functional environments

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.

Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.  

UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.  

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