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Prompt Engineer Jobs in Virginia (NOW HIRING)

As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex ...

As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex ...

Senior GenAI Engineer

Rosslyn, VA · On-site

$119K - $163K/yr

Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases. * Work with engineers to incorporate advanced prompt practices into system design. * Continuously improve prompts ...

Prompt Engineering & Tool Enablement * Build mission-specific prompt libraries, Boolean-to-AI logic translation guides, and structured templates that make approved tools immediately usable by ...

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Senior GenAI Engineer

Arlington, VA · On-site

$120K - $165K/yr

Strategize prompt use (zero/few/one-shot, role, chain-of-thought) for targeted cases. * Work with engineers to incorporate advanced prompt practices into system design. * Continuously improve prompts ...

AI Architect

Fairfax, VA · On-site

$62.50 - $82.50/hr

This is not a pure GenAI prompt engineer or research scientist. Program-Level Leader & Communicator * Acts as AI SME for the entire program * Can: * Define AI governance and usage policies * Educate ...

... prompt libraries, Boolean-to-AI logic translation guides, and structured templates that make ... prompt engineering products are tool-agnostic and adaptable to any customer-approved platform ...

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$10

$46

$87

How much do prompt engineer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for prompt engineer in Virginia is $46.68, according to ZipRecruiter salary data. Most workers in this role earn between $35.53 and $60.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Prompt Engineer position, and why are they important?

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.

What does a typical day look like for a Prompt Engineer?

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 engineers make $500,000?

Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.

What is a Prompt Engineer job?

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.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with AI tools. The role is expected to grow as AI adoption expands across industries.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
What are the most commonly searched types of Prompt Engineer jobs in Virginia? The most popular types of Prompt Engineer jobs in Virginia are:
What job categories do people searching Prompt Engineer jobs in Virginia look for? The top searched job categories for Prompt Engineer jobs in Virginia are:
What cities in Virginia are hiring for Prompt Engineer jobs? Cities in Virginia with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $97,100 per year, or $46.7 per hour.

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Posted 24 days ago


Job description

About the Role
We're building an AI-native platform designed to transform legacy enterprise systems into modern, cloud-native applications. As part of our core product team, you'll work directly with large language models (LLMs), prompt engineering, and agent-based orchestration to bring intelligent automation to some of the most complex refactoring challenges in tech today.
This is a unique opportunity to join a team that doesn't just integrate with AI - we build with it.
What You'll Do
  • Build full-stack features across our frontend (React), backend APIs (Node.js/Python), and AI orchestration layer
  • Design developer tools, IDE extensions, and sidecar services for human-AI collaboration
  • Implement prompt chaining, embedding search, and LLM integration using Amazon Bedrock (Titan, Claude)
  • Apply techniques like RLHF and GRPO to fine-tune LLMs and improve agent behavior
  • Contribute to a scalable cloud-native architecture using AWS EKS, Postgres, S3, OpenSearch, and Neo4j
  • Collaborate across engineering and product to iterate quickly in a fast-paced, mission-driven environment
Who You Are
  • You're a builder with experience across the full stack (React, TypeScript, Node.js, or Python)
  • You're curious about the intersection of AI, developer productivity, and legacy modernization
  • You've worked with LLMs and prompt engineering, or are eager to learn and experiment
  • You have a hacker's mindset and a product-builder's instinct
  • You thrive in environments where experimentation, ownership, and velocity are key
Qualifications
Required:
  • 2+ years of professional experience in software engineering
  • Proficiency with React and either Python or Node.js
  • Strong understanding of API design and modern web development practices
  • Bachelor's degree in Computer Science or related field (or equivalent experience)
Preferred:
  • Experience with Kubernetes (especially AWS EKS)
  • Hands-on experience with LLMs, embeddings, or AI/ML pipelines
  • Familiarity with cloud infrastructure and distributed systems