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Intern Llm Developer Jobs (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Workato

Intern, AI Engineering

San Francisco, CA

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Workato

Intern, AI Engineering

San Francisco, CA · On-site

$19.75 - $25.50/hr

We are now filling intern positions for Winter 2026 and Spring 2027. Research Areas ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

MX1

Intern, AI Engineer

Chicago, IL

Intern, AI Engineer The job responsibilities outlined in this document are not exhaustive and may ... Integrate LLM agents with custom REST APIs using function calling / tool use patterns so agents can ...

SES

Intern, AI Engineer

Chicago, IL · On-site

Intern, AI Engineer The job responsibilities outlined in this document are not exhaustive and may ... COMPETENCIES • Deep understanding of LLM concepts including prompt engineering, embeddings ...

SES

Intern, AI Engineer

Chicago, IL · On-site

Intern, AI Engineer The job responsibilities outlined in this document are not exhaustive and may ... COMPETENCIES • Deep understanding of LLM concepts including prompt engineering, embeddings ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

We're looking for an intern to help build the data foundation for this agent, with a focus on ... LLM fine-tuning or instruction-tuning. * Work with MLEs and platform engineers to understand ...

XPENG

AI Agent Data Pipeline Intern

Santa Clara, CA · On-site

We're looking for an intern to help build the data foundation for this agent, with a focus on ... LLM fine-tuning or instruction-tuning. * Work with MLEs and platform engineers to understand ...

Haize Labs

Software Engineer Intern

Manhattan, NY

$100K - $125K/yr

Software Engineer Intern NYC Haize Labs gets LLM apps out of POCs and into production. We eliminate the risk and improve the reliability of LLM apps by haizing them -- i.e. rigorously, proactively ...

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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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What job categories do people searching Intern Llm Developer jobs look for? The top searched job categories for Intern Llm Developer jobs are:
Intern Llm Developer jobs near you
Infographic showing various Intern Llm Developer job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, and 30% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.
AI Engineering Intern (LLM Applications)

AI Engineering Intern (LLM Applications)

Frontline Education

Wayne, PA

Internship

Posted 6 days ago

Job description

Description

Location
Hybrid within compatible U.S. time zones
How You’ll Contribute to Our Mission
At Frontline Education, our vision is simple but powerful: every school thriving. Every community stronger. Our mission is to transform how schools work, so every educator and student succeeds.
As an AI Engineering Intern focused on Large Language Model (LLM) applications, you’ll help bring that mission to life by building practical, thoughtful AI experiences that solve real-world challenges for educators and school communities. This is a hands-on opportunity to work alongside engineers, product leaders, and platform teams to prototype, develop, and improve AI-powered features that make work simpler, smarter, and more impactful.
You’ll contribute to meaningful projects, learn from experienced mentors, and gain exposure to modern AI systems in production environments. From experimentation to deployment, your work will help shape how AI can responsibly support people and outcomes at scale.
How You’ll Drive Success
  • Contribute to the development of LLM-powered features from concept through deployment, including prototyping, testing, iteration, and implementation.
  • Support retrieval-augmented generation (RAG) workflows, including document ingestion, vector search, and knowledge retrieval experiences.
  • Write, refine, and evaluate prompts while helping improve response quality, reliability, and safety.
  • Integrate AI models and APIs into backend services and workflows using modern engineering practices.
  • Assist with testing, observability, and evaluation efforts to help teams measure quality and performance.
  • Collaborate across engineering, product, and data teams to solve problems thoughtfully and efficiently.
  • Document technical decisions, learnings, and workflows in ways that support shared understanding and long-term team success.
  • Explore emerging AI tools and approaches with curiosity, responsibility, and a focus on meaningful outcomes for users.
What You Bring to Help Us Grow
  • Currently pursuing a Bachelor’s degree in Computer Science or a related technical field, with senior standing preferred.
  • Strong foundational Python programming skills and understanding of software engineering fundamentals.
  • Familiarity with APIs, backend services, and how modern web applications communicate.
  • Ability to learn quickly, ask thoughtful questions, and adapt in fast-evolving technical environments.
  • Interest in solving practical problems through technology and experimentation.
Preferred qualifications include:
  • Exposure to machine learning frameworks such as PyTorch or Hugging Face Transformers.
  • Familiarity with orchestration frameworks such as LangChain or LlamaIndex.
  • Experience exploring cloud environments such as AWS, Azure, or GCP.
  • Interest in responsible AI practices, including bias mitigation, privacy, and safe deployment patterns.
  • Academic, personal, or internship projects involving NLP, conversational AI, document search, or AI-assisted tools.
  • Hands-on experience working with LLM APIs such as OpenAI, Anthropic, or similar platforms.
What You’ll Need to Thrive
  • A growth mindset and willingness to learn through experimentation and feedback.
  • Comfort navigating ambiguity while staying focused on practical solutions and outcomes.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Curiosity about how AI can improve experiences for educators, administrators, and school communities.
  • A thoughtful and responsible approach to using emerging technologies.
  • The ability to balance innovation with reliability, usability, and human-centered design.
  • Motivation to contribute meaningfully, take ownership of your work, and continuously improve.
Our Mission, Our People, Our Purpose
At Frontline Education, we’re reimagining what’s possible by becoming an AI-first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most — their students.
As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference.
How We Support Growth, Balance, and Well-Being
• Personalized Time Off: Take time when it’s needed most — whether that’s a family vacation, a reset day, or simply time to rest and refocus.
• Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones.
• Volunteer Time Off: Paid time to give back and support causes that matter to you.
• Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year.
• Our Philosophy: We believe time away from work helps you bring your best self to it.
Continuous Learning and Growth
• World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning.
• Leadership & Technical Skill Building: Develop new capabilities and chart your own professional path.
• AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving.
• Tuition Reimbursement: Invest in formal education to advance your skills and career.
• Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends—designed to inspire curiosity and continuous improvement.
Health, Happiness, and Purpose
• Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being.
• Employee Assistance Program (EAP): Confidential support for you and your family’s needs.
• Comprehensive Benefits: Health and financial benefits that support your happiness and future.
• A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive—personally, professionally, and purposefully.
Compensation & Benefits
  • The hourly rate for this position will range from $25-35/hr, based on skills and experience. 
  • Access to internal AI tools, learning resources, and hands-on development opportunities.
  • Mentorship from experienced engineers and cross-functional leaders.
  • Opportunity to contribute to meaningful, production-level AI initiatives.
  • Potential consideration for future internship or full-time opportunities based on performance and business needs.
Inclusion, Belonging & Equal Opportunity
Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team.
Interview Process & Data Privacy
Our interview process is designed to help us learn more about your technical interests, problem-solving approach, and growth potential in a collaborative environment.
As part of our interview process, Frontline may use video conferencing platforms that include photo capture and optional transcription features to support notetaking and hiring consistency. Candidates may request accommodations or opt out of transcription by notifying their recruiter in advance. All information is handled securely and used only for legitimate recruitment and hiring purposes.
Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.
 

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