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Prompt Engineering Internship Jobs in Boston, MA

Understanding of prompt engineering and AI evaluation techniques * Experience with software ... Paid Internship of $25/hr. * Hands-on experience building real-world AI systems * Exposure to ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI ...

Our interns are not observers - they are contributors. Each AI Native Intern is embedded in a real ... Prior hands-on experience with LLMs, prompt engineering, or agentic frameworks (LangGraph, CrewAI ...

Full Stack Developer

Arlington, MA · On-site

$65K - $82K/yr

Bachelor's degree in Computer Science, Engineering, Information Systems, a related field, or ... internship experience, or demonstrable hands-on project experience. * Experience developing ...

Bachelor's degree in Computer Science, Engineering, Information Systems, a related field, or ... internship experience, or demonstrable hands-on project experience. * Experience developing ...

Software Builder, Amazon Devices

Reading, MA · On-site

$130K - $172K/yr

After understanding context, a concise prompt should be your first consideration after a discussion ... engineering excellence BASIC QUALIFICATIONS - 3+ years of non-internship professional software ...

Software Builder, Amazon Devices

Reading, MA · On-site

$130K - $172K/yr

After understanding context, a concise prompt should be your first consideration after a discussion ... engineering excellence BASIC QUALIFICATIONS - 3+ years of non-internship professional software ...

Prompt Engineering Internship information

See Boston, MA salary details

$12

$20

$32

How much do prompt engineering internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for prompt engineering internship in Boston, MA is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.74 per hour, depending on experience, location, and employer.

What is a prompt engineering internship?

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.

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 a prompt engineering internship?

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.

Are prompt engineering interns still in demand?

Prompt engineering interns are increasingly in demand as organizations seek to develop and optimize AI language models. Skills in natural language processing, machine learning, and familiarity with AI tools like GPT are valuable for these roles, which are often part of broader AI and data science teams.

What are the most commonly searched types of Prompt Engineering jobs in Boston, MA?

The most popular types of Prompt Engineering jobs in Boston, MA are:

What are popular job titles related to Prompt Engineering Internship jobs in Boston, MA?

For Prompt Engineering Internship jobs in Boston, MA, the most frequently searched job titles are:

Infographic showing various Prompt Engineering Internship job openings in Boston, MA as of August 2026, with employment types broken down into 20% Internship, and 80% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $43,645 per year, or $21 per hour.

$130.20 - $217.10/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

GE Vernova is embracing cutting‑edge technologies to streamline operations, improve customer experiences, and drive growth. As part of this vision, we are building a dedicated team to leverage Generative AI and redefine how we engage with our industry. The ultimate goal of the team is to automate prompting, develop a framework for prompting across use cases to maximize reuse and sharing across businesses. We are seeking a highly motivated and talented Prompt Engineer to join our dynamic team. The successful candidate will be responsible for creating and optimizing prompts for LLMs, collaborating with domain experts and end users to develop software solutions that address both internal and external needs. This position offers a great opportunity to work at the intersection of advanced technology and traditional industry, making a tangible impact on our business processes.

Responsibilities
  • Collaborate with domain experts to understand business needs and translate them into clear and effective LLM prompts.
  • Develop, test, and refine prompts for a variety of use cases, ensuring high accuracy and relevance in generated outputs.
  • Work closely with software developers to integrate LLM solutions into existing or new applications.
  • Contribute to the development of a scalable framework for prompt engineering, promoting reuse and knowledge sharing across different business units.
  • Assist in gathering and analyzing user feedback to continually improve prompt effectiveness.
  • Stay up-to-date with advancements in LLM technology and contribute to strategic decisions on tool and platform selection.
  • Document prompt engineering processes, best practices, and use case outcomes to build a comprehensive knowledge base.
Requirements
  • 5+ years of relevant experience in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
  • Master’s or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, AI Engineering, or related fields.
  • 3+ years of experience with prompt engineering and familiarity with tools such as OpenAI’s GPT models, Hugging Face, etc.
  • 3+ years of experience with Python or other programming languages commonly used in AI/ML development.
  • Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
  • Previous experience or internships involving NLP or machine learning projects.
  • Familiarity with version control systems like Git.
  • Strong problem‑solving skills and attention to detail.
  • Excellent communication skills, with the ability to articulate complex technical concepts to non‑technical stakeholders.
  • Ability to work collaboratively in a team environment and adapt to changing project requirements.
  • Understanding of traditional industry operations and challenges.
Eligibility
  • Must be willing to work out of an office located in Cambridge, MA or Niskayuna, NY.
  • Required three‑month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY for Cambridge, MA based resources.
  • Travel, housing, and living stipend provided.
Preferred Qualifications
  • Master’s or PhD degree in Computer Science, Engineering, Data Science, or related field.
  • Familiarity with version control systems like Git.
  • Experience with machine learning frameworks (e.g., PyTorch) and data processing libraries (e.g., Pandas, NumPy).
  • Previous experience or internships involving NLP or machine learning projects.
  • 3+ years of experience with Python or other programming languages commonly used in AI/ML development.
Salary

Pay range for this position is between $130,200.00 and $217,100.00.

Benefits
  • Medical, dental, vision, and prescription drug coverage.
  • Access to Health Coach from GE Vernova, a 24/7 nurse‑based resource.
  • Access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services.
  • Retirement benefits including the GE Vernova Retirement Savings Plan, a tax‑advantaged 401(k) savings opportunity with company matching contributions, company retirement contributions, and access to Fidelity resources and financial planning consultants.
  • Tuition assistance.
  • Adoption assistance.
  • Paid parental leave.
  • Disability benefits.
  • Life insurance.
  • 12 paid holidays.
  • Permissive time off.

GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

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