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Part Time Prompt Engineering Jobs in Virginia (NOW HIRING)

Experience with AI/ML, LLM-enabled applications, prompt engineering, Python-based automation, APIs ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

New

AI/ML Engineer

Mclean, VA · On-site

$99K - $225K/yr

Experience with AI/ML, LLM-enabled tools, prompt engineering, automation, analytics, data workflows ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Experience with basic prompt engineering concepts and use of LLM SDKs or frameworks, including ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... a part-time board-operator position in Arlington, VA. Responsibilities * Engineering broadcast ... Strong track record, detailed oriented, prompt and dependable. * The ability to work and problem ...

Agentic AI Engineer

Mclean, VA · On-site

$77K - $176K/yr

Experience with model fine-tuning, prompt tuning, domain adaptation, or reinforcement learning from ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... a part-time board-operator position in Arlington, VA. Responsibilities * Engineering broadcast ... Strong track record, detailed oriented, prompt and dependable. * The ability to work and problem ...

... part-time board-operator position in Arlington, VA. * Engineering broadcast radio boards ... Strong track record, detailed oriented, prompt and dependable. * The ability to work and problem ...

Agentic AI Engineer

Arlington, VA · On-site

$99K - $225K/yr

Experience with model fine-tuning, prompt tuning, domain adaptation, or reinforcement learning from ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Program Assistant

Daleville, VA · On-site

$33K - $42K/yr

We are looking for Part-Time and Full-Time Program Assistants! Our environment is beautiful, the ... Perform other duties as assigned in a prompt and cooperative fashion. * Follows all personnel ...

Part Time Prompt Engineering information

What are some common challenges faced in a part-time prompt engineering role, and how can they be managed effectively?

Part-time prompt engineers often need to quickly adapt to changing project requirements and work with limited context compared to full-time counterparts. Balancing multiple tasks within reduced hours can make it challenging to stay updated on the latest AI model developments and best practices. To manage these challenges, effective time management, clear communication with the team, and utilizing collaborative tools are essential. Regularly reviewing project documentation and participating in knowledge-sharing sessions can also help part-time prompt engineers stay aligned with team goals and maintain high-quality outputs.

What is part time prompt engineering?

Part time prompt engineering refers to working on designing, testing, and refining prompts for artificial intelligence systems, such as large language models, on a part-time basis. Prompt engineers help improve how AI models understand and respond to user inputs by crafting effective instructions or questions. This role typically involves collaborating with teams to optimize AI outputs for specific tasks or applications. Part time positions allow for flexible work schedules, making it suitable for students or professionals seeking supplemental income.

What are the key skills and qualifications needed to thrive as a Part Time Prompt Engineer, and why are they important?

To thrive as a Part Time Prompt Engineer, you need a solid understanding of natural language processing (NLP), creativity in language design, and familiarity with AI model behavior, often supported by a background in computer science or linguistics. Proficiency with tools like OpenAI APIs, prompt testing platforms, and version control systems (e.g., Git) is important, and certifications in AI or data science can be advantageous. Strong analytical thinking, attention to detail, and effective communication help in refining prompts and collaborating with cross-functional teams. These combined skills ensure prompts are clear, effective, and aligned with intended outcomes, resulting in optimal AI model performance.

What is the difference between Part Time Prompt Engineering vs Part Time Data Annotation?

AspectPart Time Prompt EngineeringPart Time Data Annotation
Required CredentialsBasic understanding of AI, NLP, and prompt designAttention to detail, basic data labeling skills
Work EnvironmentRemote or office-based, tech-focusedRemote or on-site, data labeling platforms
Employer & Industry UsageAI companies, tech startups, research labsData companies, AI training firms, machine learning teams
Search & Comparison IntentUnderstanding prompt design roles, freelance or part-time workData labeling tasks, annotation jobs, training data creation

Part Time Prompt Engineering involves designing and refining prompts for AI models, requiring some knowledge of NLP and AI concepts. In contrast, Part Time Data Annotation focuses on labeling data to train AI systems, emphasizing attention to detail. Both roles are common in AI development but differ in skills and daily tasks.

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 Part Time Prompt Engineering jobs in Virginia? For Part Time Prompt Engineering jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Prompt Engineering jobs in Virginia look for? The top searched job categories for Part Time Prompt Engineering jobs in Virginia are:
Infographic showing various Part Time Prompt Engineering job openings in Virginia as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
AI Engineer

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 5 days ago

New


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0244056
Location:
McLean,VA,US
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Additional Locations:
  • Melbourne, Florida, USA

AI Engineer
The Opportunity:
As an AI/ML Engineer, you recognize that enterprise-grade AI requires thoughtful design, responsible implementation, and precise communication to ensure alignment across mission teams. You enjoy exploring new AI technologies, improving workflows, and translating user needs into well-structured technical solutions. We're looking for someone with a strong foundation in software development, scripting, automation, systems development, application integration, data engineering, DevOps, IT, or related technical disciplines who can apply that experience to AI/ML-enabled capabilities in sensitive and high-impact environments.
As an AI/ML Engineer on our team, you'll help build and refine multi-step LLM workflows, develop retrieval augmented pipelines, integrate models into operational systems, and perform prompt evaluations to ensure consistency and accuracy. You'll partner closely with senior technical leaders for guidance while contributing to production-aligned capabilities that support Veteran-facing environments and adjacent mission teams.
Work with us to shape real-world AI solutions and accelerate innovation across enterprise systems.
Join us. The world can't wait
You Have:
  • 6+ years of experience in software development, scripting, automation, systems development, data engineering, application integration, DevOps, IT, systems administration, or cloud services
  • Experience with AI/ML, LLM-enabled applications, prompt engineering, Python-based automation, APIs, data workflows, or emerging technology solutions
  • Experience designing, testing, and iterating on prompts for production-oriented LLM applications
  • Experience supporting RAG pipelines, including chunking strategies, embeddings, retrieval tuning, and grounding responses in source data
  • Experience in Python, including scripting, debugging, writing reusable code, and working with external APIs
  • Experience with tools for version control and collaborative coding workflows such as Git or Github
  • Experience creating, troubleshooting, or maintaining functional software components in one or more programming languages
  • Ability to align stakeholders, clarify requirements, and reduce rework
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree in a STEM, computer science, information technology, or engineering field

Nice If You Have:
  • Experience with prompting strategies such as few-shot prompting, structured JSON or function calling prompts, or similar prompt design approaches
  • Experience building or supporting multi-step LLM workflows or agents using LangChain, LlamaIndex, Semantic Kernel, LangGraph, or similar tools
  • Experience implementing basic guardrails, output validation logic, error handling, or safe handling of model outputs in LLM systems
  • Experience with vector databases or semantic search, such as pgvector, Azure AI Search, FAISS, or similar tools
  • Experience evaluating prompts or building regression testing approaches for LLM behavior
  • Experience with basic SQL, Microsoft SQL Server, or healthcare, claims, or research data
  • Experience with Azure cloud services or Azure ML/AI Foundry tooling and integrating applications with APIs, databases, cloud services, or enterprise systems
  • Experience working with PHI/PII or in HIPAA, IRB, or ATO governed environments
  • Knowledge of responsible AI concepts including bias considerations, validation practices, and safe handling of model outputs
  • Possession of excellent verbal and written communication skills

Vetting:
Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914