ZipRecruiter

Log In

1

Prompt Engineering Jobs in Virginia (NOW HIRING)

BTree Solutions, Inc.

AI/ML ENGINEER

Reston, VA · On-site

Optimize and adapt prompt engineering strategies to improve model performance and relevance. * Integrate and deploy models using AWS services including Bedrock, S3, ECS, EC2, Lambda and other AI/ML ...

Halvik

Sr. Software Developer

Vienna, VA · On-site

$150K - $165K/yr

Large Language Models (LLMs), AI agents, Prompt engineering best practices. * Build reusable and scalable application components that integrate with enterprise systems and third-party services.

Tetra Tech

Sr. Software Developer

Vienna, VA · On-site

$150 - $190/hr

Large Language Models (LLMs), AI agents, Prompt engineering best practices, Agent orchestration frameworks. * Build reusable and scalable application components that integrate with enterprise systems ...

Tata Consultancy Service Limited

Engineer

Mclean, VA · On-site

$100K - $120K/yr

Conduct evaluations, A/B tests, and model drift checks while applying prompt engineering and optimization techniques. • Collaborate and Ensure Responsible AI : Partner with cross-functional teams ...

previous pagenext page

Showing results 21-40

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Virginia

Prompt Engineering information

See Virginia salary details

$32.2K

$62.4K

$94.7K

How much do prompt engineering jobs pay per year?

As of Aug 23, 2026, the average yearly pay for prompt engineering in Virginia is $62,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,600.00 and $71,400.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

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 are popular job titles related to Prompt Engineering jobs in Virginia?

For Prompt Engineering jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Virginia look for?

The top searched job categories for Prompt Engineering jobs in Virginia are:

What cities in Virginia are hiring for Prompt Engineering jobs?

Cities in Virginia with the most Prompt Engineering job openings:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Virginia as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $62,437 per year, or $30 per hour.

AI/ML engineering

Meta Force Technology Staffing LLC

Reston, VA • On-site

$119K - $143K/yr

Contractor

Re-posted 8 days ago

Job description

Developer IV :::::::: Position will be located  Reston, V

Onsite Interview required

Halting and SL'ing will take place Tuesday the 22nd at 10am EST

Description: 

Experience:
• 8+ years overall in Software Engineering disciplines, preferably in the financial services industry
• 2-3 years of experience in AI/ML engineering roles
• Strong programming skills in Python, SQL and experience with AWS.
Key Responsibilities:
• Design, test, and refine prompts for large language models (LLMs) to support financial reporting, summarization, and client communication tools.
• Analyze structured and unstructured financial data using Python and SQL, delivering insights through dashboards and reports.
• Develop and maintain data pipelines and ETL workflows to support GenAI model training and evaluation.
• Use AWS SageMaker to build, train, and deploy machine learning and GenAI models.
• Collaborate with data scientists, analysts, and business stakeholders to align AI solutions with financial objectives.
• Monitor model performance and iterate on prompt and model design to improve accuracy and relevance.
• Document workflows, models, and prompt strategies for internal knowledge sharing and compliance.
Required Qualifications:
• 2–3 years of experience in data analysis or machine learning roles.
• Proficiency in Python and SQL for data manipulation and analysis.
• Hands-on experience with major AWS services, particularly SageMaker, S3, Redshift, and Lambda.
• Experience working with LLMs (Anthropic Claude, Sonnet) and prompt engineering techniques.
• Strong understanding of financial data, KPIs, and reporting standards.
• Excellent communication and collaboration skills.
Preferred Qualifications:
• Experience in the finance or fintech industry.
• Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG).
• Exposure to data visualization tools (e.g., Power BI, Tableau).
• Understanding of MLOps practices and model lifecycle management.
Education
• B Bachelor’s degree in Computer Science, Data Science, Finance, or a related field.

Enable Skills-Based Hiring

No

Do the resources need to be convertible talent?

 

(No Value)

Recruiting Strategy Type

 

Competitive Source

Is this position open to subcontractors?

 

Yes