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Intern Llm Developer Jobs (NOW HIRING)

RadNet

Intern Software Development

Somerville, MA · On-site

$28/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 ...

BillionToOne

Software Engineering Intern

Menlo Park, CA

$6.0K - $10K/mo

As an intern, you'll work alongside experienced engineers, clinicians, and computational biologists ... Experience with prompt engineering or LLM application development Benefits And Perks: * Working ...

MaxLinear, Inc.

AI Intern

Carlsbad, CA

$25 - $40/hr

LLM inference, MCP integration, Robot Framework, Python, and the Jira / Bitbucket / Confluence ... Bachelors of Science, Computer Science, Engineering or similar in progress; Masters student ...

ProNexus

Software Engineer Intern

We're looking for a Gen AI/Backend Software Engineer Intern (Python) who wants to ship production ... Strong interest in GenAI / prompt engineering, with experience building LLM-powered features ...

Cotiviti

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

Cotiviti

Intern - Generative AI Research Engineer

$32 - $40/hr

Overview The Generative AI Research Engineer Intern conducts primary and secondary research of ... Experience with LLM/RAG models and LLM fine-tuning is a plus. * Hands-on experience working with ...

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

We're seeking an AI Intern to support the design, development, and operationalization of Generative ... with LLM application patterns, such as: Retrieval-Augmented Generation (RAG), Prompt engineering ...

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Intern Llm Developer information

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

To thrive as an Intern LLM Developer, you generally need a solid background in computer science, programming (especially Python), and foundational knowledge of machine learning concepts. Familiarity with deep learning frameworks like TensorFlow or PyTorch, version control systems such as Git, and exposure to large language models (LLMs) are typically required. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate and learn in dynamic team environments. These skills and qualities are vital for contributing to cutting-edge AI projects and rapidly adapting to evolving technologies in the field.

What does an Intern LLM Developer do?

An Intern LLM (Large Language Model) Developer supports the development, testing, and deployment of AI models, specifically large language models like GPT or BERT. Their responsibilities often include data preprocessing, model fine-tuning, writing code to interact with APIs, and evaluating model performance. Interns work under the guidance of senior developers and researchers to gain hands-on experience in natural language processing and AI. This role is ideal for students or recent graduates looking to build practical skills in machine learning and AI development.

What types of projects and learning opportunities can an Intern LLM Developer expect to work on during their internship?

As an Intern LLM Developer, you can expect to participate in hands-on projects involving the development, fine-tuning, or evaluation of large language models (LLMs). Typical responsibilities include data preprocessing, implementing model training pipelines, and collaborating with senior engineers and data scientists to optimize model performance. You'll also have opportunities to contribute to research on natural language processing (NLP) tasks and gain exposure to industry-standard tools and frameworks. This role offers valuable mentorship and the chance to build practical skills in machine learning and AI, setting a strong foundation for a future career in the field.

What is the difference between Intern Llm Developer vs Intern Machine Learning Engineer?

AspectIntern Llm DeveloperIntern Machine Learning Engineer
Required CredentialsTypically pursuing or recent graduate in Computer Science, AI, or related fieldsSimilar educational background, often with focus on ML or AI
Work EnvironmentTech companies, AI startups, research labsTech firms, startups, research institutions
Employer & Industry UsageFocused on developing large language models and NLP applicationsDeveloping various ML models, including NLP, computer vision, etc.
Common Search & ComparisonIntern Llm Developer vs Intern Machine Learning Engineer

Intern Llm Developers primarily focus on building and fine-tuning large language models, often specializing in NLP tasks. Intern Machine Learning Engineers have a broader scope, working on various ML models across different domains. Both roles require similar educational backgrounds and are found in tech and AI industries, but their specific focus areas differ.

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Intern Llm Developer jobs near you
Infographic showing various Intern Llm Developer job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 3% Part Time, 1% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.
Intern Software Development

Intern Software Development

RadNet

Somerville, MA • On-site

$28/hr

Temporary

Posted 11 days ago

RadNet rating

6.7

Company rating: 6.7 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

520th of 881 rated healthcare providers

Job description

Responsibilities
Job Title: Software Developer Intern
Reports to: Product Development Leader
FLSA Status: Non-Exempt
Job Summary
DeepHealth is seeking a Software Developer Intern for Summer 2026 to join our Seattle-area engineering team. This is a hands-on, in-person role focused on building and shipping production-grade systems in a fast-paced healthcare AI environment.
Essential Duties and Responsibilities
Interns will contribute directly to live product development in one of the following areas:
Agentic AI Engineering:
  • Build and deploy AI agents on real-world healthcare datasets
  • Develop orchestration logic and evaluation pipelines
  • Integrate LLM-powered workflows into production systems

Full Stack Engineering
  • Design and implement scalable backend services and APIs
  • Build responsive front-end applications
  • Contribute to cloud-native architectures and CI/CD pipelines

Across both tracks, interns will:
  • Write clean, testable, production-quality code
  • Participate in design reviews and system architecture discussions
  • Collaborate closely with engineering and product teams
  • Deliver a high-impact project by the end of the internship

PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.
Minimum Qualifications, Education and Experience
  • Pursuing a BS or MS in Computer Science, Computer Engineering, or related field
  • Strong foundation in data structures and algorithms
  • Experience in one or more of: Python, JavaScript/TypeScript, Java, or C++
  • Ability to work on-site in the Seattle/Bothell area for the full internship

Preferred: Experience with distributed systems, cloud platforms (AWS or GCP), modern web frameworks, or AI/ML frameworks.
Quality Standards
  • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, patients, visitors, and vendors.
  • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.
  • Follows all local, state and federal laws concerning employment to include but not limited to: I-9, Harassment, EEOC, Civil rights and ADA.
  • Follows OSHA regulations, RadNet and site protocols, policies and procedures.
  • Follows HIPAA, compliance, privacy, safety and confidentiality standards at all times.
  • Practices universal safety precautions.
  • Promotes good public relations on the phone and in person.
  • Adapts and is willing to learn new tasks, methods, and systems.
  • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with RadNet guidelines.
  • Consistently adheres to the time management policies and procedures.
  • Completes job responsibilities in a quality and timely manner.

Physical Demands
This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally.
Working Environment
This is a 3 month assignment starting June of 2026 in our Seattle / Bothell, WA office.
ACCOMMODATIONS
Reasonable accommodations may be made to enable people with disabilities to perform the essential functions of the job

What RadNet employees say

Pay

Benefits

Hours and flexibility

Workplace

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About RadNet

Sourced by ZipRecruiter

At RadNet, we are Leading Radiology Forward. RadNet aligns innovative solutions to deliver high-quality, cost-effective consumer-focused healthcare. Backed by 40 years of experience and with over 10,000 employees and over 380 imaging centers in 9 states, we are positioned for the future of healthcare.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Los Angeles, CA, US

Year founded

1980

Social media

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