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Internship Retrieval Augmented Generation Jobs in New York

Accord Technologies Inc.

GEN AI Architect

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Winaxis

AI Engineer

Jersey City, NJ · On-site

$101K - $139K/yr

... internships and academic projects are welcome). Strong programming skills in Python. Basic ... Basic understanding of Retrieval-Augmented Generation (RAG). Familiarity with vector databases such ...

Winaxis

AI Engineer

Jersey City, NJ · On-site

$101K - $139K/yr

... internships and academic projects are welcome). Strong programming skills in Python. Basic ... Basic understanding of Retrieval-Augmented Generation (RAG). Familiarity with vector databases such ...

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Virtusa Corporation

Mainframe Developer

New York, NY · On-site

$53.50 - $69/hr

The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Skills: Cobol, SQL, JCL ...

Judge Group, Inc.

Agentic AI Architects

Edison, NJ · On-site

$155K - $200K/yr

Design Retrieval-Augmented Generation (RAG) frameworks to enhance accuracy and reliability of AI outputs. * Establish best practices for knowledge retrieval, grounding, and AI response quality.

Virtusa Corporation

Mainframe Developer

New York, NY · On-site

$53.50 - $69/hr

The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Skills: Cobol, SQL, JCL ...

Noblesoft Technologies

Gen AI Architect

Jersey City, NJ · On-site

Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution. * Establish best practices ...

MUFG

AI Foundational Model Engineer

Jersey City, NJ · Hybrid

Develop and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities. * Evaluate, benchmark, and recommend foundation models based on performance, cost, security ...

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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 New York?

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

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

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Cities in New York 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 New York as of August 2026, with employment types broken down into 73% Full Time, 26% Part Time, and 1% Contract. Highlights an 64% Physical, 3% Hybrid, and 33% Remote job distribution.

Data Scientist - Intern

Concord Advice

Florham Park, NJ • On-site

$40K - $70K/yr

Full-time

Re-posted 7 days ago

Job description

Data Scientist Intern — Concord AdviceSummary

Concord Advice is a dynamic fintech company headquartered in the New Jersey area, specializing in delivering cutting-edge analytical and technical solutions for financial organizations. We design and implement innovative technology solutions, including CRM platforms, underwriting engines, auction-based online lead bidding systems, omni-channel customer engagement strategies, payment technologies, and bank integration services.

Our strategic investments in cloud infrastructure and MLOps pipelines enable us to leverage state-of-the-art language AI — from large-language-model (LLM) agents and retrieval-augmented generation to proven NLP capabilities such as named-entity recognition, intent detection, and sentiment analysis — to create intelligent, real-time, and automated customer experiences.

As a fast-growing, entrepreneurial, and collaborative firm, Concord Advice provides an immersive, hands-on environment where innovation meets business impact. Our team thrives in a dynamic setting that rewards creativity, analytical thinking, and cross-functional collaboration. If you're a problem-solver who enjoys tackling open-ended challenges, join us in shaping the future of fintech!

Job Description

As a Data Scientist Intern at Concord Advice, you will:

  • Collaborate as a member of the analytics team, working alongside senior management and IT to design models, perform data mining, and conduct statistical research.
  • Work closely with open banking data to support loan term optimization, cashflow underwriting, and revenue improvement.
  • Build end-to-end automated machine learning workflows using Azure cloud computing and our MLOps pipeline.
  • Contribute to the development of an LLM-assisted machine learning system that classifies bank transactions, helping improve the accuracy and coverage of our existing labeling framework.
  • Support firm-wide efforts to centralize data definitions and institutional knowledge by helping build retrieval-augmented generation (RAG) workflows, MCP servers, and semantic layers.
  • Take ownership of complex, ambiguous problems in a fast-moving environment, applying a consultative mindset to break challenges down into root causes, develop structured analysis plans, and identify the data needed to drive insights.
Key Qualifications
  • BA/MS in a business-related field with a focus on machine learning.
  • Comfortable working with a range of machine learning and statistical packages in Python, along with databases and reporting tools.
  • Solid grounding in the foundational concepts behind a variety of advanced ML algorithms.
  • Familiarity with the Azure cloud platform and experience using Azure services to support data science, machine learning, analytics, and production-oriented workflows.
  • Outstanding communication skills (both technical and non-technical) and a proven ability to work effectively with multiple stakeholders across a variety of business units.
  • Self-motivated, vocal, and proactive, with demonstrated creative and critical thinking capabilities.
Good to Have
  • Working knowledge of modern AI and analytics engineering patterns, including retrieval-augmented generation (RAG), dbt, and semantic modeling.
  • Hands-on experience with NLP modeling techniques such as text classification and named-entity recognition (NER).
  • Exposure to credit underwriting or risk modeling within a lending business.
Compensation & Benefits
  • Concord Advice offers a competitive compensation package for this role, with an expected salary range of $40,000 – $70,000 USD per year, prorated based on the length of the internship. Final compensation within this range is determined by relevant experience, technical skills, education, and internship duration.

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