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Internship Llm Engineer Jobs (NOW HIRING)

Lava

Software Engineer

New York, NY

About Lava Lava is a universal connector to every LLM, API, and MCP, powering an integrated ... internships and independent projects. * Comfortable with TypeScript/Node.js and able to ship ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

LLM Integration: Leverage Large Language Models (LLMs) to architect and implement a pipeline that ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

Auctor AI

Software Engineering Intern

New York, NY · On-site

$80/hr

Internship Overview Join us in New York City for 10-12 weeks and help build the next generation of ... Contribute features to our Next.js + Python stack, from API to UI * Prototype and benchmark LLM ...

Nace AI

Research Engineer

Palo Alto, CA · On-site

... internships, or contributions to open-source projects * First authored publications on language ... Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing ...

Advantest

AI Intern

San Jose, CA · On-site

... engineering student to explore cutting-edge applications of machine learning and generative AI ... This internship provides hands-on experience working with emerging AI systems and integrating them ...

American Express

AI Engineer III

Phoenix, AZ · On-site

$57 - $76.75/hr

Exposure to LLM tooling, prompt engineering, RAG, or agent frameworks through work, coursework, or personal projects. * Internship or early-career experience in fintech or other regulated ...

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Internship Llm Engineer information

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How much do internship llm engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for internship llm engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Internship Llm Engineer vs Llm Engineer?

AspectInternship Llm EngineerLlm Engineer
Required CredentialsEnrolled in or recent graduate of an LLM program, some technical backgroundTypically holds an LLM degree with specialized legal or technical expertise
Work EnvironmentInternship setting, learning-focused, supervisedFull-time professional role, project-driven, collaborative
Employer & Industry UsageLaw firms, legal tech companies, research institutionsLegal departments, law firms, legal tech companies

The main difference is that an Internship Llm Engineer is a temporary, learning-focused position for students or recent graduates, while an Llm Engineer is a full-time professional role requiring more experience and expertise. Internships serve as entry points into the industry, whereas Llm Engineers handle ongoing legal and technical projects.

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

To thrive as an Internship LLM Engineer, you need a solid background in computer science, proficiency in Python, and foundational knowledge of machine learning and natural language processing concepts. Experience with deep learning frameworks like PyTorch or TensorFlow and familiarity with large language models are typically required, alongside coursework or certifications in AI or data science. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns adapt quickly and contribute to innovative projects. These skills are crucial for understanding complex AI systems and collaborating within fast-evolving research and engineering environments.

What types of projects and responsibilities can an Internship LLM Engineer expect to work on?

As an Internship LLM Engineer, you'll typically be involved in tasks such as fine-tuning large language models, evaluating model performance, and assisting with data preprocessing and annotation. Interns often collaborate closely with senior engineers and data scientists, contributing to research experiments and model deployment efforts. This role offers exposure to the latest advancements in AI and provides hands-on experience with large-scale machine learning workflows, making it a valuable stepping stone for a future career in AI engineering.

What does an Internship LLM Engineer do?

An Internship LLM Engineer works with large language models (LLMs), such as GPT or similar AI systems, to develop, fine-tune, or integrate these models into products and services. Their responsibilities often include data preprocessing, model training, evaluation, and creating solutions that leverage natural language processing (NLP) capabilities. Interns may also help in researching new methods to improve model performance or reduce computational costs. This role provides hands-on experience with state-of-the-art AI technologies and exposure to real-world machine learning workflows.
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What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
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What job categories do people searching Internship Llm Engineer jobs look for? The top searched job categories for Internship Llm Engineer jobs are:
Internship Llm Engineer jobs near you
Infographic showing various Internship Llm Engineer job openings in the United States as of July 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 100% In-person job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Software Engineer

Software Engineer

Lava

New York, NY

Full-time

Posted 7 days ago

Job description

Software Engineer (NYC)Lava: the connector to every LLM, API, and MCP.

Join Lava's team in shaping how people and AI build, monetize, and work together.

About Lava

Lava is a universal connector to every LLM, API, and MCP, powering an integrated workspace and productivity with no key sprawl to manage. Lava also gives developers and businesses a way to get paid for the agents and services they list in the gateway, with no billing stack to build.

  • The Lava app puts an agent inside the real apps people already use, so it can act across them instead of just describing what to do.
  • You describe the task in plain language and the agent handles the workflow.
  • Lava MCP drops that same access into AI tools.
  • One connection to 200+ providers.

Build is Lava's monetization tool. Developers plug into the Gateway to route calls and set flexible pricing strategies. Lava handles the entire revenue lifecycle, metering, access control, and payouts, with zero code required on the merchant's side.

Our mission is to make it effortless for people and AI to work together. We're looking for early engineering hires to help define how and what we build.

What You'll Do
  • Ship features and fix bugs across the Lava's surfaces.
  • Help extend the Gateway and monetization systems (metering, billing, payouts).
  • Write tests, clean up rough edges, and help keep the products reliable as more people use them daily.
  • Pair with founding engineers to learn the codebase and take on more independent ownership over time.
  • Move fast, adapt to ambiguity, and help shape the culture and processes from day one.
What We're Looking For
  • 1-3 years of professional software engineering experience, or equivalent depth from internships and independent projects.
  • Comfortable with TypeScript/Node.js and able to ship production code with guidance from more senior engineers.
  • Solid grasp of API design, data modeling, and testing, deep systems design experience isn't expected yet.
  • Hands-on AI user who experiments with AI tools and has used an LLM API at least once.
  • Experience with payments, infrastructure, or developer tooling is a plus, not a requirement.
  • Resourceful and self-motivated, and comfortable in an early-stage, fast-changing environment.
Why You'll Love This Role
  • You'll be solving one of the hardest and most important problems in AI: building the infrastructure that connects and monetizes AI-native products.
  • Work in a small, tight-knit, and highly motivated team that stays focused on outcomes, without unnecessary process or distractions.
  • Work directly with a founder who's built and sold a fintech company before, now doing it again at the center of the AI shift.
  • Be part of a company operating at the cutting edge of AI, where speed, ownership, and impact matter more than process.
  • The media is already excited about what we're building: read our TechCrunch feature here.
  • Significant influence over technical and product decisions from day one.
  • Help shape how the trust layer, access layer, and financial backbone of the AI web get built.
Location & Work Authorization
  • This is an in-person role based out of Lava's New York City office.
  • Candidates must currently be authorized to work in the United States; Lava is unable to sponsor visas at this time.

If you're excited about owning big problems, building products people need, and having a direct hand in how the future of AI commerce works, we'd love to talk.

Employment Type: FULL_TIME

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