ZipRecruiter

Log In

1

Prompt Engineer Jobs in Virginia Beach, VA (NOW HIRING)

CDIT LLC

AI Engineer

Norfolk, VA · On-site

... prompt engineering, retrieval-augmented generation (RAG), embeddings, and vector search. • Working knowledge of AWS ML services - SageMaker, Bedrock, Lambda, S3, and IAM - preferably in GovCloud ...

CDIT LLC

AI Engineer with Security Clearance

Norfolk, VA · On-site

... prompt engineering, retrieval-augmented generation (RAG), embeddings, and vector search. • Working knowledge of AWS ML services -- SageMaker, Bedrock, Lambda, S3, and IAM -- preferably in GovCloud ...

Apex Systems

AI Engineer

Norfolk, VA · On-site

Expertise in text analytics, prompt engineering, data normalization, and cleaning techniques is also required. An IAT II or higher certification is required, and a Security+ certification must be ...

Varsity Tutors

ChatGPT Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Norfolk, VA · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

next page

Showing results 1-20

All JobsPrompt Engineer JobsPrompt Engineer Jobs in Virginia Beach, VA

Prompt Engineer information

See Virginia Beach, VA salary details

$9

$44

$83

How much do prompt engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for prompt engineer in Virginia Beach, VA is $44.69, according to ZipRecruiter salary data. Most workers in this role earn between $33.99 and $57.74 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are the most commonly searched types of Prompt Engineer jobs in Virginia Beach, VA?

The most popular types of Prompt Engineer jobs in Virginia Beach, VA are:

What are popular job titles related to Prompt Engineer jobs in Virginia Beach, VA?

For Prompt Engineer jobs in Virginia Beach, VA, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Virginia Beach, VA look for?

The top searched job categories for Prompt Engineer jobs in Virginia Beach, VA are:

What cities near Virginia Beach, VA are hiring for Prompt Engineer jobs?

Cities near Virginia Beach, VA with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 6% Internship, 73% Full Time, 14% Part Time, and 7% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $92,947 per year, or $44.7 per hour.

Artificial Intelligence & Cloud Engineer

Vets Hired

Norfolk, VA • On-site

$150 - $200/hr

Other

Posted 5 days ago

Job description

Job Summary

The Artificial Intelligence & Cloud Engineer designs, builds, secures, and scales AI-powered systems within cloud environments. The role combines artificial intelligence, machine learning, cloud engineering, software development, retrieval systems, multi-agent architectures, vector databases, and secure AI deployment. The engineer will develop production-grade AI applications and microservices while collaborating with data scientists, designers, and subject matter experts in an Agile environment.

Key Responsibilities
  • Architect and implement scalable multi-agent AI systems.
  • Develop advanced routing and hierarchical multi-agent architectures.
  • Build, optimize, and maintain production-grade Retrieval-Augmented Generation (RAG) pipelines.
  • Develop semantic search and information retrieval systems.
  • Design data preprocessing workflows, chunking strategies, and vector database infrastructure.
  • Deploy, secure, monitor, and maintain AI applications and microservices in cloud environments.
  • Integrate AI capabilities into user-facing products.
  • Collaborate with data scientists, UI/UX designers, and subject matter experts.
  • Establish security best practices for large language model implementations.
  • Protect sensitive information through secure data handling and privacy controls.
  • Implement AI model guardrails and other AI security measures.
  • Develop robust RESTful APIs supporting AI and cloud applications.
  • Support Linux-based development and cloud environments.
  • Apply text analytics, prompt engineering, data normalization, and data-cleaning techniques.
  • Support cybersecurity risk management and system hardening activities.
  • Evaluate and adopt emerging AI technologies and engineering practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 7+ years of professional software engineering experience.
  • At least 2 years of production experience in AI, ML, or NLP development.
  • Experience building multi-agent systems using LangGraph, AutoGen, or equivalent frameworks.
  • Strong understanding of RAG architecture, vector databases, embeddings, and information retrieval.
  • Strong programming skills in Python or a similar programming language.
  • Experience developing RESTful APIs.
  • Hands-on experience deploying and managing AWS or OCI cloud services.
  • Proficiency with Linux operating systems and command-line interfaces.
  • Expertise in text analytics and prompt engineering.
  • Experience with data normalization and cleaning.
  • Active Secret security clearance.
  • Current CompTIA Security+ certification or higher.
  • Knowledge of AI security practices, model guardrails, and secure data handling.
  • Experience working in Agile and cross-functional development environments.
  • Strong problem-solving skills and ability to learn emerging AI technologies quickly.
Preferred Qualifications
  • Experience with NAVSEA Cyber RMF processes and system security hardening.
  • Familiarity with Rust, Go, or JavaScript.
  • Industry-recognized cloud certifications, such as AWS Certified Machine Learning - Specialty or OCI AI credentials.
  • Experience with open-source LLM evaluation and observability frameworks.
#J-18808-Ljbffr

Apply