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Prompt Engineer Jobs in Springfield, VA (NOW HIRING)

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 ...

SAIC

AI Engineer Associate

Upper Marlboro, MD

$80K - $120K/yr

Hands-on experience deploying and configuring LLMs, including an understanding of prompt engineering techniques. * Experience specifying and working with GPU hardware to meet the performance demands ...

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 ...

Deloitte

Agentic Capability Engineer

Arlington, VA · On-site

Develop and govern prompt, context engineering patterns that produce consistent, high-quality outputs * Stand up MCP (Model Context Protocol) servers, CLI tools, and agent testing frameworks

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 ...

Deloitte

Agentic Capability Engineer

Rosslyn, VA

Develop and govern prompt, context engineering patterns that produce consistent, high-quality outputs * Stand up MCP (Model Context Protocol) servers, CLI tools, and agent testing frameworks

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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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 ...

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 ...

SAIC

AI Engineer Associate

Upper Marlboro, MD · On-site

$80K - $120K/yr

Hands-on experience deploying and configuring LLMs, including an understanding of prompt engineering techniques. * Experience specifying and working with GPU hardware to meet the performance demands ...

BLEN

AI Engineer

Washington, DC

Apply prompt engineering , structured outputs, function/tool calling, and guardrails to make agent behavior predictable * Write production Python backends and APIs that expose AI capabilities to web ...

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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 3, 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.
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Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Springfield, VA as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $102,300 per year, or $49.2 per hour.
Large Language Model (LLM) AI Engineer

Large Language Model (LLM) AI Engineer

Oran, Inc.

Herndon, VA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Experience Required
7+ Years Overall | 3+ Years in Generative AI / LLMs
Position Overview
We are seeking a Large Language Model (LLM) AI Engineer to design, fine-tune, evaluate, and integrate generative AI and LLM-based solutions in healthcare, scientific, and regulated environments. The ideal candidate will possess expertise in modern AI architectures, vector databases, prompt engineering, and AI governance.
Key Responsibilities
  • Design and implement generative AI and LLM solutions.
  • Fine-tune and evaluate foundation models.
  • Develop AI workflows using agentic AI frameworks.
  • Build RAG architectures and vector database integrations.
  • Develop APIs and cloud-native AI solutions.
  • Implement hallucination mitigation and AI governance controls.

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