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Internship Retrieval Augmented Generation Jobs in Connecticut

This hands-on role will build and integrate AI capabilities, including generative AI applications, automation workflows, retrieval-augmented generation solutions, AI agents, and model-enabled ...

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 ...

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 ...

Architect and deliver integrated AI solutions, including agentic workflows, retrieval-augmented generation pipelines, and enterprise platform integrations * Define and enforce governance, security ...

... 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 ...

This role involves working on Natural Language Processing (NLP) and Generative AI (GenAI) use cases such as classification, summarization, and retrieval-augmented generation (RAG), in partnership ...

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

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

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Internship Retrieval Augmented Generation information

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 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 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:
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.

AI Engineer

EMCOR Group, Inc.

Norwalk, CT • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Job description

About Us

A Fortune 500 company, EMCOR Group, Inc. (NYSE: EME) is a leader in mechanical and electrical construction, industrial and energy infrastructure, and building services. EMCOR companies plan, install, operate, maintain, and protect the sophisticated and dynamic systems that create facility environments-such as electrical, mechanical, lighting, air conditioning, heating, security, fire protection, and power generation systems-in virtually every sector of the economy and for a diverse range of businesses, organizations, and government.

Job Summary

The AI Engineer is responsible for designing, developing, implementing, and supporting practical artificial intelligence solutions that improve business processes, increase productivity, and enable responsible AI adoption across EMCOR. This hands-on role will build and integrate AI capabilities, including generative AI applications, automation workflows, retrieval-augmented generation solutions, AI agents, and model-enabled business processes. The AI Engineer will partner directly with EMCOR Operating Companies and corporate departments to identify use cases, develop reusable patterns, support implementation efforts, and help teams adopt AI capabilities in a secure, scalable, and supportable manner. This role will also work closely with the AI Security Engineer to ensure AI solutions follow approved security architecture, data protection requirements, governance processes, and responsible AI standards.  This role reports to the VP of Information Technology and is fully remote.

Essential Duties & Responsibilities

The principal duties and responsibilities include, but are not limited to:

  • Design, develop, test, deploy, and support AI-enabled solutions that address business needs across EMCOR and its Operating Companies
  • Build practical AI capabilities including generative AI applications, AI agents, workflow automation, document intelligence, natural language interfaces, and retrieval-augmented generation solutions
  • Partner with Operating Company leaders, corporate departments, and IT teams to identify high-value AI use cases, define requirements, prototype solutions, and support implementation
  • Create reusable AI solution patterns, implementation guidance, technical documentation, and reference examples that Operating Companies can adopt and extend
  • Integrate AI capabilities with approved enterprise platforms, applications, APIs, data sources, and automation tools
  • Develop and maintain prompt engineering standards, evaluation approaches, testing routines, and quality controls for AI outputs
  • Work with the AI Security Engineer to ensure AI solutions meet EMCOR security requirements, including data protection, access control, logging, monitoring, prompt and response filtering, and approved architecture patterns
  • Ensure AI solution development follows EMCOR Secure Software Development Lifecycle guidelines, including security requirements, design reviews, secure coding practices, testing, validation, documentation, and release readiness
  • Support AI governance processes by documenting solution purpose, data sources, risks, controls, expected outputs, limitations, and operational ownership
  • Monitor implemented AI solutions for performance, reliability, usage, cost, quality, and business value; recommend improvements as needed
  • Stay current on emerging AI technologies, enterprise AI platforms, development frameworks, and implementation best practices; translate relevant advancements into practical EMCOR use cases
  • Provide training, guidance, and practical support to EMCOR employees on the effective and responsible use of approved AI tools, including appropriate use cases, prompting and development, productivity best practices, and data protection requirements.
Qualifications
  • Five years minimum experience in software engineering, application development, data engineering, automation, or related technology implementation roles
  • Two years minimum hands-on experience developing or implementing AI, machine learning, generative AI, automation, or advanced analytics solutions
  • Experience with one or more programming or scripting languages such as Python, JavaScript, TypeScript, PowerShell, or SQL
  • Working knowledge of generative AI concepts, large language models, prompt engineering, retrieval-augmented generation, APIs, and AI solution evaluation
  • Experience integrating applications, data sources, APIs, automation workflows, and cloud services
  • Familiarity with Microsoft 365, Azure, Power Platform, Copilot Studio, GitHub, M365 Copilot and Agents or comparable enterprise AI and development platforms preferred
  • Understanding of data protection, access control, Secure Software Development Lifecycle guidelines, secure development practices, and responsible AI principles
  • Ability to translate business requirements into practical technical solutions and explain AI capabilities, limitations, and risks to technical and non-technical stakeholders
  • Ability to effectively communicate and interact with personnel at all levels, including EMCOR executive management, operating company leadership, IT teams, Security, Legal, Risk, and other business users
  • Must be capable of delivering a very high level of customer service

#emcor

Equal Opportunity EmployerAs a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success. Equal Opportunity Employer/Veterans/DisabledAffirmative Action Policy

Please review our Affirmative Action Policy.

Notice to Prospective EmployeesNotice to prospective employees: There have been fraudulent postings and emails regarding job openings. EMCOR Group and its companies list open positions here. Please check our available positions to confirm that a post or email is genuine. EMCOR Group and its companies do not reach out to individuals to help with marketing or other similar services. If an individual is contacted for services outside of EMCOR's normal application process - it is probably fraudulent.Geographic Disclosure

As a leading provider of mechanical and electrical construction, facilities services, and energy infrastructure, we offer employees a competitive salary and benefits package and we are always looking for individuals with the talent and skills required to contribute to our continued growth and success.  Equal Opportunity Employer/Veterans/Disabled

Compensation Range:   $135,000-$168,000, depending on geography

Other Compensation:   the position is bonus eligible

Benefits: We are committed to providing employees a comprehensive benefits package which includes medical, dental, and vision coverage, along with health savings and flexible spending accounts, life insurance, disability, a 401(k) Savings Plan, College Coach and employee assistance program.

Employment Type: FULL_TIME