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Internship Retrieval Augmented Generation Jobs in Massachusetts

Lorvenk Technologies LLC

AI Engineer

Boston, MA · On-site

W2/C2C This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the ...

Nastech Global

GCP Gen AI Architect

Boston, MA · On-site

Build Retrieval-Augmented Generation (RAG) pipelines to improve the quality of AI-generated responses. Collaborate with various stakeholders to integrate and deploy AI models into production ...

Vrtx

Principal Engineer, AI Authoring

Boston, MA · Hybrid

$166K - $250K/yr

Build and optimize sophisticated Retrieval-Augmented Generation (RAG) systems that accurately pull from vast clinical and regulatory data sources to assist in document creation. * Engineer the data ...

Vrtx

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

This role will lead the design and implementation of scalable, secure, and reusable capabilities for agentic AI, with a strong focus on retrieval-augmented generation (RAG), orchestration frameworks ...

Vertex Pharmaceuticals

Senior Principal AI Engineer

Boston, MA · On-site

$136K - $187K/yr

This role will lead the design and implementation of scalable, secure, and reusable capabilities for agentic AI, with a strong focus on retrieval-augmented generation (RAG), orchestration frameworks ...

Granite Telecommunications

Lead AI Engineer

Quincy, MA · On-site

$180K - $280K/yr

Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and ...

Career Site

Lead AI Engineer

Quincy, MA

$180K - $280K/yr

Retrieval-Augmented Generation (RAG) and ColBERTv2 pipelines for parsing, indexing, and querying enterprise documents to facilitate answers related to process guidelines, product knowledge, and ...

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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 Massachusetts?

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

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

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

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

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

Internship Retrieval Augmented Generation jobs near you
Infographic showing various Internship Retrieval Augmented Generation job openings in Massachusetts as of August 2026, with employment types broken down into 72% Full Time, 26% Part Time, and 2% Contract. Highlights an 63% Physical, 3% Hybrid, and 34% Remote job distribution.

Senior Machine Learning Engineer - Boston - Rag/Ai/LLM

Motion Recruitment Partners, LLC

Boston, MA • On-site

$113K - $155K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Job description


A global provider of data-driven technology solutions is seeking a Senior Machine Learning Engineer to join its Boston-area team in a hybrid capacity. This engineer will guide the design of scalable artificial intelligence platforms and advanced agent-based systems used across a broad suite of enterprise products.
The position centers on developing modern AI capabilities for a complex professional-information environment. Key initiatives include intelligent research tools, retrieval-augmented generation systems, large language model applications, and production-ready autonomous workflows. You will also help set architectural direction, define engineering best practices, and improve the reliability and security of the broader AI ecosystem.
Core Qualifications
Deep knowledge of machine learning systems and autonomous agent design
Hands-on experience creating LLM applications and retrieval-augmented generation solutions
Practical experience working with vector search technologies and vector data stores
Familiarity with production ML operations, monitoring, and deployment practices
Strong Python development skills
Working knowledge of AWS infrastructure and Kubernetes environments
Preferred Background
Experience delivering software for legal technology, compliance, financial services, or another regulated domain
At least 12 years of software engineering experience, or 8 or more years combined with a PhD
Bachelor's degree or higher in computer science, engineering, data science, or a related discipline
Key Responsibilities
Day-to-Day Work
This is a highly hands-on engineering position
Create, productionize, and maintain sophisticated AI and ML capabilities for enterprise research applications
Architect and enhance distributed machine learning services and scalable platform components
Build agentic applications, semantic retrieval pipelines, and supporting orchestration frameworks
Partner with software, platform, and security teams to deliver dependable, secure, and high-performing AI systems
Compensation
Eligible for a performance-based bonus
Benefits include
Comprehensive medical coverage
Dental insurance
Vision insurance
Paid vacation and personal time
401(k) retirement plan with employer match, where offered
This position follows a hybrid schedule in Boston, Massachusetts.
Candidates must be authorized to work full-time in the United States both now and in the future.

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