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Llm Engineer Intern Jobs (NOW HIRING)

RadNet

Intern Software Development

Somerville, MA

$28 - $30/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Integrate LLM-powered workflows into production systems Full Stack Engineering * Design and ...

Deephealth

Intern Software Development

Somerville, MA

$28 - $30/hr

Software Developer Intern Reports to: Product Development Leader FLSA Status: Non-Exempt Job ... Integrate LLM-powered workflows into production systems Full Stack Engineering * Design and ...

CSBio

AI Software Engineering Intern

Menlo Park, CA · On-site

We are looking for a highly motivated AI Software Engineering Intern to help build and expand our ... Experience with OpenAI API or other LLM/AI tools * Exposure to manufacturing, ERP/MRP systems, or ...

Auctor AI

Software Engineering Intern

New York, NY · On-site

$80/hr

Contribute features to our Next.js + Python stack, from API to UI * Prototype and benchmark LLM ... Solid programming foundations (data structures, algorithms, networking basics) * Proficiency in ...

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Llm Engineer Intern information

What are the key skills and qualifications needed to thrive as an LLM Engineer Intern, and why are they important?

To thrive as an LLM Engineer Intern, you need a solid background in computer science, machine learning fundamentals, and programming languages such as Python, often supported by coursework or relevant projects. Familiarity with deep learning frameworks (like PyTorch or TensorFlow), version control tools (such as Git), and exposure to model training or prompt engineering is typically expected. Strong analytical thinking, collaboration, and a willingness to learn help interns adapt quickly and contribute effectively to team projects. These skills and qualities are crucial for developing, refining, and deploying large language models in dynamic research or production environments.

What are some typical projects or tasks that an LLM Engineer Intern might work on during their internship?

As an LLM Engineer Intern, you can expect to contribute to tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. You may also help develop or improve prompt engineering strategies, conduct error analysis, and collaborate with senior engineers on integrating language models into real-world applications. Interns often participate in team meetings and code reviews, gaining practical experience and exposure to the latest advancements in natural language processing.

What are LLM Engineer Interns?

LLM Engineer Interns are students or recent graduates who assist in the development, fine-tuning, and deployment of large language models (LLMs) such as GPT or BERT. They work under the supervision of experienced engineers and researchers, contributing to tasks like data preprocessing, model training, evaluation, and prompt engineering. These interns gain hands-on experience with cutting-edge AI technologies while helping teams build and improve natural language processing applications.
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Llm Engineer Intern jobs near you
Infographic showing various Llm Engineer Intern job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Data Quality AI Intern (61_2026.3)

Data Quality AI Intern (61_2026.3)

Affinity Solutions

Manhattan, NY

$30/hr

Full-time, Internship

Posted 6 days ago

New

Job description

Affinity Solutions (Affinity) is the leading consumer purchase insights company. We provide a complete view of U.S. and U.K. consumer spending, across and between brands, via exclusive access to fully permissioned data from over 100 million consumers. Our proprietary AI technology, Comet™, transforms these purchase signals into actionable insights for business and marketing leaders to drive optimal outcomes and build lasting customer relationships. Visit https://www.affinitysolutions.com to discover how we’re shaping the future of consumer purchase insights.

About Your Role:

We are looking for a motivated Data Quality AI Engineer Intern to join our Data Engineering team. You will work on production-scale data platforms to build automated data quality solutions, AI-powered tools, and scalable data pipelines. This role combines data quality engineering, software development, cloud technologies, and AI to improve data reliability, automate validation processes, and deliver actionable insights.

Your Responsibilities:

  • Develop and automate AI/ML data quality frameworks to validate datasets, features, embeddings, and AI-generated outputs for accuracy and reliability.
  • Build data profiling, validation, reconciliation, and anomaly detection workflows using Python, SQL, Spark, and cloud technologies.
  • Implement quality checks for LLM and Generative AI applications, including prompt validation, response evaluation, and model output monitoring.
  • Monitor AI data pipelines for data drift, schema changes, completeness, and consistency to ensure reliable model performance.
  • Collaborate with Data Engineering and ML teams to design scalable QA frameworks, dashboards, alerts, and automated testing solutions.

Your Qualifications:

  • Pursuing a BS/MS in Computer Science, Data Science, Engineering, Information Systems, or a related field.
  • Strong SQL skills (joins, CTEs, window functions, aggregations).
  • Proficiency in Python for automation, APIs, and data processing.
  • Familiarity with data warehouses such as Snowflake, Redshift, BigQuery, or Databricks.
  • Exposure to cloud platforms (AWS, Azure, or GCP) and data pipeline concepts.
  • Understanding of REST APIs, software engineering fundamentals, and version control (Git).
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Experience with Spark/PySpark, Airflow, dbt, or similar data engineering tools.
  • Exposure to AI/LLMs, prompt engineering, MCP frameworks, or chatbot development.
  • Familiarity with data quality, ETL/ELT, data governance, and monitoring frameworks.
  • Experience working with large-scale datasets and building dashboards or reporting solutions.
  • Knowledge of machine learning, feature engineering, or data privacy concepts is a plus.

Salary Range: $25/hr. for undergraduate students, $30/hr. for current graduate students

Office Hours: 9am – 5:30pm

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