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Prompt Engineering Jobs in Washington, DC (NOW HIRING)

Virtual Networx

AI/ML Engineer

Mclean, VA · On-site

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs ...

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · Remote

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

Ignite IT

Jr. AI Prompt Engineer

Ashburn, VA · On-site +1

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

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 ...

Interon IT Solutions

ServiceNow AI Developer

Chantilly, VA · Remote

$55.25 - $76/hr

Implement prompt engineering strategies and retrieval-augmented generation (RAG) patterns. * Train and tune machine learning models for classification, routing, and predictions. * Integrate AI agents ...

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Showing results 21-40

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Washington, DC

Prompt Engineering information

See Washington, DC salary details

$36.8K

$71.3K

$108.1K

How much do prompt engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for prompt engineering in Washington, DC is $71,314.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $81,500.00 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 Washington, DC?

The most popular types of Prompt Engineering jobs in Washington, DC are:

What are popular job titles related to Prompt Engineering jobs in Washington, DC?

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

What job categories do people searching Prompt Engineering jobs in Washington, DC look for?

The top searched job categories for Prompt Engineering jobs in Washington, DC are:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Washington, DC as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $71,301 per year, or $34.3 per hour.

AI/ML Engineer

Virtual Networx

Mclean, VA • On-site

Other

Posted 22 days ago

Job description

Role: AI/ML Engineer
Experience: 10+ Years
Duration: 12 months
Location: MC Lean , VA

Skills: Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP, Computer Vision, Generative AI, LLM, Prompt Engineering, RAG, Vector Databases, REST APIs

Responsibilities:

  • Design, develop, and deploy Machine Learning and AI solutions for business applications.
  • Build and optimize ML models for classification, regression, forecasting, recommendation, and NLP use cases.
  • Develop data preprocessing, feature engineering, model training, and evaluation pipelines.
  • Work with Python, Pandas, NumPy, Scikit-learn, TensorFlow, and/or PyTorch.
  • Develop and integrate Generative AI and LLM-based solutions where applicable.
  • Work with OpenAI/LLM APIs, prompt engineering, embeddings, vector databases, and RAG architectures.
  • Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud Platform.
  • Deploy models through REST APIs, Docker, Kubernetes, and cloud platforms.
  • Monitor model performance, data quality, drift, and production issues.
  • Collaborate with Data Engineers, Software Engineers, Data Scientists, Product Owners, and business stakeholders.
  • Perform model tuning, experimentation, validation, and performance optimization.
  • Implement MLOps practices for CI/CD, model versioning, experiment tracking, and automated deployment.
  • Ensure AI solutions meet requirements for security, scalability, reliability, and responsible AI.
  • Document models, architectures, workflows, and technical processes.

Required Skills

  • Python
  • Machine Learning
  • Deep Learning
  • Scikit-learn
  • TensorFlow / PyTorch
  • Pandas / NumPy
  • SQL
  • NLP / Computer Vision as applicable
  • Generative AI / LLM
  • Prompt Engineering
  • RAG
  • Vector Databases
  • REST APIs
  • Docker / Kubernetes
  • Cloud: AWS / Azure / Google Cloud Platform
  • Git
  • MLOps / MLflow

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