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Prompt Engineering Internship Jobs in Virginia (NOW HIRING)

... prompt management, output validation and Human-In-The Loop review. * Develop channel-specific ... At least 4 years of professional software engineering experience (Internship experience does not ...

Sr Software Development Engineer , AXU

Arlington, VA · On-site

$140K - $185K/yr

BASIC QUALIFICATIONS - 5+ years of non-internship professional software development experience - 5+ ... prompt engineering expertise (few-shot, chain-of-thought, ReAct, self-consistency techniques ...

AI Builder, Emerging Talent

Mclean, VA · On-site

$56 - $74.25/hr

Our interns and new graduates work on real projects that affect how our business runs, giving them ... and prompt engineering. * You are fluent in React, TypeScript, GraphQL, Python, OOP and Real-Time ...

Our team operates as a product-oriented engineering group, owning the design and delivery of ... coursework, internships, or projects (e.g., LLM APIs, prompt design, RAG, or workflow-based AI ...

Our team operates as a product-oriented engineering group, owning the design and delivery of ... coursework, internships, or projects (e.g., LLM APIs, prompt design, RAG, or workflow-based AI ...

Our team operates as a product-oriented engineering group, owning the design and delivery of ... coursework, internships, or projects (e.g., LLM APIs, prompt design, RAG, or workflow-based AI ...

... Delivery or strong internship/fresh graduate performance on technical interview tests ... Experience with large language models and GenAI, including prompt engineering, retrieval-augmented ...

... Delivery or strong internship/fresh graduate performance on technical interview tests ... Experience with large language models and GenAI, including prompt engineering, retrieval-augmented ...

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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.

Is 20 dollars an hour good for an internship?

For a Prompt Engineering Internship, earning $20 an hour is generally considered competitive, especially for entry-level positions or internships that do not require extensive experience. Internships often pay less than full-time roles, but rates can vary based on location, company, and skill requirements such as familiarity with AI tools and programming languages.

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.

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, and 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 and APIs. The field is growing as organizations seek experts to optimize AI interactions and develop intelligent applications.

Are prompt engineers still in demand?

Prompt engineering is a growing field as AI language models become more integrated into various applications. 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.
What are the most commonly searched types of Prompt Engineering jobs in Virginia? The most popular types of Prompt Engineering jobs in Virginia are:
What cities in Virginia are hiring for Prompt Engineering Internship jobs? Cities in Virginia with the most Prompt Engineering Internship job openings:
Lead Software Engineer

Lead Software Engineer

Capital One

Mclean, VA • On-site

Full-time

Posted 9 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 135 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Lead Software Engineer
We are hiring a Lead Software Engineer to build the AI-powered marketing content layer - the systems that generate, assemble, review and publish marketing content across email, mobile app, site placement and push notifications. You will work on LLM-integrated content generation pipelines, channel-specific content builds, and AI-assisted compliance workflows that ensure every piece of marketing content meets regulatory standards before it reaches customers.
Who We Are:
Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices.
What You'll Do:
  • Build software solutions to iterate on AI content generation services - integration of LLM's into content authoring workflows with prompt management, output validation and Human-In-The Loop review.
  • Develop channel-specific content builders for email, mobile app placements, web site placements and push notifications, with responsive rendering and preview capabilities.
  • Implement AI-assisted compliance review workflows - build classifiers and scoring pipeline that flag possible UDAAP, CAN-SPAM, claims and disclosures before content approval.
  • Contribute to multi-agent orchestration systems that coordinate content compliance review, audience selection, and campaign dispatch.
  • Build evaluation and observability tooling for LLM outputs - golden dataset benchmarks, A/B content quality metrics and drift detection.
  • Develop template and component systems that allow marketers to assemble compliant content from pre-approved building blocks across channels.
  • Write well-tested, production-ready code and participate in CI/CD pipeline development, including model evaluation pipeline.
  • Lead the design of end-to-end content generation features; write architecture proposals and drive cross-team alignment
  • Define guardrail frameworks for LLM outputs - toxicity filters, brand voice enforcement, compliance boundary checks - and establish operational runbooks.
  • Utilize programming languages like Python, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services

Basic Qualifications:
  • Bachelor's Degree
  • At least 4 years of professional software engineering experience (Internship experience does not apply)
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:
  • Master's Degree
  • 5+ years of experience with Python
  • 3+ years of experience in at least one of the following: Java, Go, TypeScript/JavaScript or Node.js
  • 3+ years of experience with AWS, GCP, Azure, or another cloud service
  • 1+ years of experience in at least one of the following: LLM integration, model API, prompt engineering or AI-augmented feature generation.
  • 1+ years of experience in at least one of the following: Marketing Technology, ESP's, campaign management, content personalization or digital marketing platforms.
  • 1+ years of experience in at least one of the following: MJML or Apache Volocity

At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $197,300 - $225,100 for Lead Software Engineer
Richmond, VA: $179,400 - $204,700 for Lead Software Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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