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Prompt Engineer Jobs in Washington, DC (NOW HIRING)

micro1 AI

AI/ML Engineer

Gaithersburg, MD · On-site

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

micro1 AI

AI/ML Engineer

Rockville, MD · On-site

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

micro1 AI

AI/ML Engineer

Sterling, VA · On-site

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

micro1 AI

AI/ML Engineer

Herndon, VA · On-site

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

micro1 AI

AI/ML Engineer

Ashburn, VA · On-site

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

micro1 AI

AI/ML Engineer

Arlington, VA · On-site

Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications. * Develop and orchestrate multi-agent systems using ...

New

Geo Owl

AI Process Integration Engineer

Mclean, VA · On-site

$100 - $130/hr

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 ...

New

rockITdata

AI/ML Engineer

Arlington, VA · On-site

$120 - $180/hr

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.

rockITdata

AI/ML Engineer

Arlington, VA · Remote

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.

Freddie Mac

Cloud Engineer Senior

Mclean, VA · On-site

$56.25 - $75.25/hr

Design and implement AI-powered automation workflows using prompt engineering, LLM APIs, and agentic patterns to streamline platform operations, anomaly detection, and cost analysis. * Build ...

System One

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 ...

Bytoa

Senior Applied AI Engineer

Columbia, MD · On-site

$225 - $255/hr

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 ...

Omm IT Solutions

GenAI Engineer

Ellicott City, MD

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 ...

campus4tech

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 ...

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Prompt Engineer information

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$11

$53

$99

How much do prompt engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for prompt engineer in Washington, DC 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, DC?

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

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

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

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

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

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 7% Internship, 68% Full Time, 6% Part Time, and 19% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $110,926 per year, or $53.3 per hour.

AI/ML Engineer

micro1 AI

Gaithersburg, MD • On-site

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Job Description

Job Title: AI/ML Engineer

Job Type: Full-Time

Job Summary:

Join our customer’s team as an AI/ML Engineer, where you will help build and deploy next-generation AI solutions for critical government and enterprise applications. In this dynamic, hybrid role, you’ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You’ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.

Key Responsibilities:

  • Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
  • Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
  • Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
  • Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
  • Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
  • Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Skills and Qualifications:

  • Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
  • Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
  • Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
  • Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
  • Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
  • Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
  • Exceptional written and verbal communication skills for effective collaboration and documentation.

Preferred Qualifications:

  • Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
  • Prior exposure to government or highly regulated cloud environments and compliance standards.

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