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Prompt Engineer Jobs in Springfield, VA (NOW HIRING)

Goldman Edwards, Inc.

Be Seen First

AI Foundry Engineer (Remote)

Washington, DC · Remote

... prompt engineering § Knowledge about emerging standards for AI agent ecosystem § SME / Power user for at least one Gen AI system (Gemini, ChatGPT, Claude, CoPilot) § Prompt engineering ...

Nastech Global

Senior AI/ML/Python Engineer

Reston, VA · On-site

... prompt engineering techniques. • Strong understanding of financial data, KPIs, and reporting standards. • Excellent communication and collaboration skills. Thank and Regards Gopi M 202.828.3493 ...

Peraton

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

MANTECH

Data and AI Solution Engineer

Herndon, VA

Maintain a strong understanding of emerging GenAI frameworks, prompt engineering methodologies, government compliance requirements, and integration methods with enterprise systems. * Participate in ...

Harris

Software Engineer

Washington, DC

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

Peraton

Senior AI Engineer

Reston, VA · Remote

$127K - $168K/yr

Establish prompt frameworks, chaining strategies and reusable AI patterns that scale across teams ... Prompt engineering, prompt chaining, and reusable prompt architectures * Evaluation frameworks for ...

Mind Ware Inc

Senior Java Full Stack Developer

Mclean, VA · On-site

$115K - $120K/yr

Exposure to Generative AI and prompt engineering is a plus. Experience and Qualifications 10+ years of hands-on full stack development experience delivering enterprise-grade applications. Strong ...

History Factory

Staff Engineer

Washington, DC · On-site

Staff Engineer (AI & Automation) About History Factory Since 1979, History Factory has been driven ... Implement prompt- and injection-safety strategies for LLM features (context scoping, output ...

History Factory

Staff Engineer

Washington, DC · On-site

Staff Engineer (AI & Automation) About History Factory Since 1979, History Factory has been driven ... Implement prompt- and injection-safety strategies for LLM features (context scoping, output ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Springfield, VA

Prompt Engineer information

See Springfield, VA salary details

$10

$49

$91

How much do prompt engineer jobs pay per hour?

As of Jul 24, 2026, the average hourly pay for prompt engineer in Springfield, VA is $49.18, according to ZipRecruiter salary data. Most workers in this role earn between $37.40 and $63.51 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 engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.

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 tools like GPT. The role continues to grow alongside advancements in AI technology.

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, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What are popular job titles related to Prompt Engineer jobs in Springfield, VA? For Prompt Engineer jobs in Springfield, VA, the most frequently searched job titles are:
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What cities near Springfield, VA are hiring for Prompt Engineer jobs? Cities near Springfield, VA with the most Prompt Engineer job openings:
Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Springfield, VA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $102,300 per year, or $49.2 per hour.
AI Foundry Engineer (Remote)

AI Foundry Engineer (Remote)

Goldman Edwards, Inc.

Washington, DC • Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Be Seen First

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Job description

AI Foundry Engineer (US - Remote)


Position summary

We are seeking a highly skilled AI Foundry Engineer with a strong ability to translate complex business requirements into actionable prompts that effectively guide AI foundry platforms across ecosystems supporting mission-critical federal technology initiatives. Reporting to the Sr. Architect, the AI Foundry Engineer will ....


What will you do in this role?

§ Understand and translate business requirements and problem statements into a set of prompts that direct AI foundry platforms and ecosystems to generate full stack, AI and agent-based systems

§ Assess the generated systems code to discover design gaps and inefficiencies, standard and coding style issues. Identify and implement fixes in the design and code as necessary

§ Test, verify, and deploy the end-to-end system / application


What do you need to succeed in this role?

§ 20+ years of overall software, distributed systems, and cloud native system development experience

§ Coding standards (Google JavaScript / JSON style guide, PEP 8 style guide)

§ Design patterns (GOF, Others)

§ Architecture frameworks

§ 2-3+ years of developing and integrating AI, Gen AI, and agentic AI algorithms, models, frameworks, and prompt engineering

§ Knowledge about emerging standards for AI agent ecosystem

§ SME / Power user for at least one Gen AI system (Gemini, ChatGPT, Claude, CoPilot)

§ Prompt engineering - translating business / user requirements into prompts

§ 5-7+ years of in-depth, hands-on experience with one or more web application frameworks and programming languages

§ Angular, React, Python, NodeJS, Rust

§ Minimum of 5 years in-depth, hands-on experience with one or more cloud tech stacks, including virtual network architecture, design, implementation and management

§ AWS / Google (preferred)

§ AZURE / Oracle

§ Minimum of one-year in-depth, hands-on experience with one or more QA frameworks and test automation platforms

§ Experience in testing AI and LLM’s using tools to evaluate accuracy, bias, and reliability of AI tools and systems

§ Hands-on experience in using tools such as Brainstrust and Galileo


In addition, specific skills/experience required are as follows:

§ Values driven – You embody and model absolute integrity and servant leadership and you have a bias for action and continuous innovation.

§ Uncompromising problem solver – You see opportunities in every business challenge and can develop, articulate and implement solutions.

§ Collaboration – You are a relationship builder across all levels of the organization and across all business units.


Company Description

Goldman Edwards is a leader in the application of systems engineering across a wide array of large-scale system development and mission critical programs used by government and industry. We provide world-class talent, proven management, and technical processes to manage the most complex projects—from concept through deployment.