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Prompt Engineer Jobs in Washington (NOW HIRING)

This role will focus on Amazon Bedrock Agent configuration, prompt engineering, knowledge base development, coaching ruleset design, QA scoring rubric implementation, and continuous model evaluation.

AI Engineer

Washington, DC · Remote

$41.85/hr

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes * Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or ...

AI Engineer

Washington, DC · On-site

$52.85/hr

Design and optimize prompts using prompt engineering techniques for LLMs to achieve desired outcomes * Work with Large Language Models (LLMs) such as Claude, GPT, Gemini, Llama, etc. via APIs or ...

You would be the person who built their own AI agents before it was cool, who has strong opinions about prompt engineering, and who can architect systems that others haven't imagined yet. Embedded ...

Prompt engineering: Crafting and refining prompts to guide generative models to produce desired outputs, often for specific applications (e.g., content creation, code generation, design). \n * Build ...

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

AI Engineer

Rockville, MD · On-site

$140K/yr

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

AI Engineer

Rockville, MD · On-site

$140 - $200/hr

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Showing results 41-60

Prompt Engineer information

See Washington salary details

$11

$53

$99

How much do prompt engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for prompt engineer in Washington is $53.33, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $68.89 per hour, depending on experience, location, and employer.

What is a prompt engineer?

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.

What does a prompt engineer do?

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 skills and qualifications are needed to be a prompt engineer?

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.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are the most commonly searched types of Prompt Engineer jobs in Washington?

The most popular types of Prompt Engineer jobs in Washington are:

What cities in Washington are hiring for Prompt Engineer jobs?

Cities in Washington with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Washington as of August 2026, with employment types broken down into 88% Full Time, 2% Part Time, 2% Temporary, and 8% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $110,926 per year, or $53.3 per hour.

Systems Engineer 3 - (AI, Terraform, LLMs)

Akina, Inc.

Annapolis, MD • On-site

$233K - $284K/yr

Full-time

Retirement, PTO

Posted 5 days ago


Job description

Systems Engineer 3 - (AI, Terraform, LLMs)
Clearance: TS/SCI - Polygraph required
Position ID: 20-3-013-SE3
Location: Annapolis Junction, Maryland
Description:
This position requires a lead Systems Engineer 3 (SE3) to direct the development of Content Delivery Network (CDN) infrastructure through advanced AI integration. As a technical lead, you will guide an engineering team in utilizing large language models (LLMs) to generate and manage Terraform configurations. A primary focus of this role is understanding AI prompt engineering and identifying the behavioral nuances of various models to ensure highly accurate, production-ready infrastructure code. You will define the strategies for interacting with AI systems, iteratively refining prompts, and establishing rigorous quality control processes for all AI-generated output. Additionally, you will collaborate with engineering management and stakeholders to ensure that the AI-driven infrastructure meets enterprise scalability and security standards.
  • Lead the engineering team in leveraging AI tools to design, generate, and deploy CDN infrastructure using Terraform.
  • Formulate and refine complex AI prompts to consistently produce secure and optimized Infrastructure as Code (IaC).
  • Evaluate AI-generated outputs for quality and efficiency, adjusting prompting strategies to account for model hallucinations, nuances, and limitations.
  • Establish best practices, standardized workflows, and review processes for the team regarding AI interaction and prompt engineering.
  • Collaborate with stakeholders to define architectural requirements and translate them into effective AI directives.

Position Required Skills:
  • Experience leading software engineering teams and managing technical infrastructure projects.
  • Experience with prompt engineering, demonstrating a deep understanding of the nuances, capabilities, and limitations of modern LLMs.
  • Knowledge of Infrastructure as Code (IaC) principles, with practical experience utilizing Terraform for resource deployment.
  • Experience reviewing, validating, and debugging AI-generated code or infrastructure configurations for production environments.
  • Knowledge of Content Delivery Network (CDN) concepts and cloud-based hosting environments such as Cloudflare.
  • Familiarity with Git and Atlassian Tools (Jira, Confluence) to manage team workflows and version control.

Nice to Haves
  • Experience utilizing prompt management frameworks and AI evaluation metrics to track model performance.
  • Experience translating and communicating complex AI and infrastructure concepts to non-technical stakeholders and executive leadership.

SE3 Qualifications:
YOE Requirement: 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
Salary Range: $233k-$284k (Annually)
The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.
Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.
Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.
We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
www.akina-inc.com/careers