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Prompt Engineering Internship Jobs in California

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Strong understanding of Large Language Models, including prompt engineering, API integration, and ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

PlusAI

Simulation Engineer Intern

Santa Clara, CA · On-site

$19 - $65/hr

Strong understanding of Large Language Models, including prompt engineering, API integration, and ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

$160K - $180K/yr

Academic projects, internships, or part-time work during degree programs will not be considered as ... Experience with prompt engineering, fine-tuning, and evaluation methods for improving real-world ...

Avathon

AI Engineer

Pleasanton, CA

$116K - $159K/yr

Strong understanding of transformer architectures, LLM fine-tuning, prompt engineering, RAG systems ... Experience working on applied AI projects in academic, internship, or startup settings * Interest ...

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Prompt Engineering Internship information

What is the stipend for prompt engineer intern?

The stipend for a prompt engineering internship varies depending on the company and location but typically ranges from $1,000 to $3,000 per month. Interns often work part-time or full-time and may also receive mentorship and skill development opportunities.

What is a Prompt Engineering Internship job?

A Prompt Engineering Internship is a role where interns learn to design, refine, and optimize prompts for AI models to generate accurate and useful responses. Interns work closely with developers, researchers, and data scientists to test and improve AI outputs. The position often involves experimenting with different prompt structures, analyzing results, and helping enhance AI capabilities. This internship is ideal for those interested in AI, natural language processing, and machine learning applications.

Is 22 too old for an internship?

Prompt Engineering Internships are open to candidates of various ages, including those in their early twenties. Age is generally not a barrier, and employers often value skills, relevant experience, and a willingness to learn over age. Many internships welcome diverse applicants, regardless of age, especially if they demonstrate enthusiasm and technical aptitude.

What kinds of projects or responsibilities can I expect during a Prompt Engineering Internship?

As a Prompt Engineering Intern, you will typically work on developing, testing, and optimizing prompts for large language models to improve response quality and accuracy. Your daily tasks may include collaborating with engineers, data scientists, and product teams to understand project goals, conducting experiments to evaluate prompt effectiveness, and documenting findings or best practices. You may also be involved in researching emerging trends in AI and suggesting improvements based on real-world feedback. This role offers a dynamic environment with opportunities to contribute to cutting-edge applications and strengthen your technical and communication skills in a collaborative team setting.

What are the key skills and qualifications needed to thrive in the Prompt Engineering Internship position, and why are they important?

To thrive as a Prompt Engineering Intern, you need a strong background in language modeling, natural language processing (NLP), and analytical thinking, often supported by coursework or experience in computer science or related fields. Familiarity with tools like Python, machine learning libraries (such as TensorFlow or PyTorch), and platforms that host large language models (like OpenAI API) is helpful. Excellent communication, problem-solving abilities, and creativity are valuable soft skills for crafting effective prompts and collaborating within teams. These skills ensure that prompts are precise and effective, enabling high-quality outputs from AI systems and driving innovation in conversational AI applications.

What jobs can I get with prompt engineering?

Prompt engineering skills are valuable in roles such as AI/ML engineer, data scientist, NLP specialist, or AI product manager, where designing effective prompts improves AI model outputs. These positions often require knowledge of machine learning, programming, and AI tools like language models. The role involves developing, testing, and refining prompts to optimize AI performance in various applications.

Are prompt engineers still in demand?

Prompt engineering is a growing field as AI language models become more integrated into various industries. Demand for prompt engineers is increasing, especially for roles involving AI development, natural language processing, and expertise with tools like GPT models, making it a valuable skill set for tech-focused positions.
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Prompt Engineering Internship jobs near you
Infographic showing various Prompt Engineering Internship job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Simulation Engineer Intern

Simulation Engineer Intern

PlusAI

Santa Clara, CA • On-site

$19 - $65/hr

Full-time, Internship

Retirement

Re-posted 7 days ago

Job description

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World's Most Innovative Companies. Partners including TRATON GROUP's Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you're ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.
Responsibilities:
  • LLM Integration: Leverage Large Language Models (LLMs) to architect and implement a pipeline that automatically generates realistic, highly structured driving scenarios.
  • Translate ODDs to Prompts: Convert complex Operational Design Domains (ODDs) and safety/NHTSA guidelines into effective prompt frameworks and programmatic constraints for the model.
  • Simulation Integration: Interface the LLM-generated scenarios directly with the autonomous vehicle simulation environment to create executable, varied testing grounds.
  • Apply Deontic Logic: Incorporate rule-based constraints (deontic logic) to ensure the generated scenarios strictly adhere to or properly test complex traffic laws, rights-of-way, and safety protocols.
  • Quality Assurance & Iteration: Collaborate with the simulation and machine learning teams to evaluate the realism, diversity, and edge-case coverage of the synthetic scenarios, refining the models as needed.

Required Skills:
  • Generative AI & LLM Experience: Strong understanding of Large Language Models, including prompt engineering, API integration, and structuring LLM outputs (e.g., JSON parsing).
  • Programming Proficiency: Strong, hands-on programming skills in Python for machine learning workflows and scripting.
  • Systems Thinking: Ability to translate abstract, real-world concepts (like traffic rules and driving environments) into structured, programmable data and logic.
  • Problem Solving: A highly analytical mindset with a passion for tackling complex challenges at the intersection of AI and physical-world simulation.

Preferred Skills:
  • Simulation Software: Familiarity with autonomous vehicle simulation platforms (e.g., CARLA, LGSVL, or proprietary AV simulators) and procedural generation.
  • Autonomous Driving Context: Knowledge of autonomous driving concepts, Operational Design Domains (ODDs), ADAS systems, or NHTSA safety guidelines.
  • Formal Logic/Rules Engines: Exposure to formal logic, deontic logic, or building rule-based expert systems.
  • Synthetic Data Generation: Prior experience using generative AI for synthetic data generation, automated testing, or scenario creation.

$19 - $65 an hour
Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.
Your opportunities joining PlusAI
Work, learn and grow in a highly future-oriented, innovative and dynamic field.
Wide range of opportunities for personal and professional development.
Catered free lunch, unlimited snacks and beverages.
Highly competitive salary and benefits package, including 401(k) plan.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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