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Chatgpt Prompt Engineer Jobs in Washington (NOW HIRING)

AI and Prompt Engineering: Advanced expertise with enterprise AI writing tools (e.g., Google Gemini Advanced, ChatGPT Enterprise), combined with the proven ability to engineer complex, multi-shot ...

ServiceNow AI Orchestrator

Arlington, VA ยท On-site

$62.25 - $85.50/hr

... ChatGPT, Cursor, GitHub Copilot, or similar as a core part of how you work. Not just experimenting, but relying on them to produce real output. * Strong prompt engineering skills. You know how to ...

Data Engineer

Rockville, MD ยท On-site

$116K - $140K/yr

Working knowledge of prompt engineering, RAG architectures, and context/memory management ... Hands-on experience with AI development tools (GitHub Copilot, Q Developer, ChatGPT, Claude, etc.

Hands-on experience with AI development tools (GitHub Copilot, Q Developer, ChatGPT, Claude, etc.) and AI workflow design. Proven ability in prompt engineering and leveraging AI coding assistants for ...

GenAI Engineer

Rockville, MD ยท On-site

$116K - $140K/yr

LangChain, LangGraph, AWS Strands, or equivalent โ€ข Working knowledge of prompt engineering, RAG ... ChatGPT, Claude, etc.) โ€ข Experience with spec-driven development - using structured ...

Hands-on experience with AI development tools (GitHub Copilot, Q Developer, ChatGPT, Claude, etc.) and AI workflow design. Proven ability in prompt engineering and leveraging AI coding assistants for ...

Lead Automation Test Engineer

Herndon, VA ยท On-site

$47.25 - $62.50/hr

... ChatGPT, or similar tools. * Experience creating prompt libraries, AI usage standards, or ... Strong programming experience in one or more languages, preferably Java, JavaScript/TypeScript, or ...

Lead Automation Test Engineer

Herndon, VA ยท On-site

$47.25 - $62.50/hr

... ChatGPT, or similar tools. * Experience creating prompt libraries, AI usage standards, or ... Strong programming experience in one or more languages, preferably Java, JavaScript/TypeScript, or ...

Showing results 21-40

Chatgpt Prompt Engineer information

See Washington salary details

$14

$63

$91

How much do chatgpt prompt engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for chatgpt prompt engineer in Washington is $63.42, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $84.42 per hour, depending on experience, location, and employer.

Is it hard to become a Chatgpt Prompt Engineer?

Becoming a ChatGPT Prompt Engineer requires strong skills in natural language processing, prompt design, and familiarity with AI language models. While there is no formal certification, gaining experience through practice, understanding AI tools, and staying updated on model capabilities can help. The role often involves continuous learning and adapting to new AI developments.

What is the role of Chatgpt Prompt Engineer in ChatGPT?

A ChatGPT Prompt Engineer designs and optimizes prompts to improve the AI model's responses, ensuring accuracy, relevance, and safety. They analyze model behavior, test prompt variations, and may use tools like API interfaces to refine outputs, often requiring skills in natural language processing and critical thinking.

What are the key skills and qualifications needed to thrive as a ChatGPT prompt engineer, and why are they important?

To thrive as a Chatgpt Prompt Engineer, you need a strong grasp of natural language processing, prompt design, and AI model behaviors, often supported by a background in computer science or linguistics. Familiarity with machine learning frameworks, prompt engineering tools, and APIs like OpenAI's GPT platform is typically required. Creativity, analytical thinking, and the ability to collaborate across technical and non-technical teams are key soft skills. These capabilities enable effective development, testing, and refinement of prompts to optimize AI performance and user experience.

What is a ChatGPT prompt engineer?

A ChatGPT Prompt Engineer is a specialist who designs, tests, and refines prompts to optimize responses from AI models like ChatGPT. Their role involves understanding AI behavior, crafting effective prompts, and iterating on inputs to achieve accurate, relevant, and engaging outputs. They often work with developers, content creators, and businesses to fine-tune AI interactions for specific use cases. Strong skills in natural language processing, creativity, and problem-solving are essential for success in this role.

Are Chatgpt prompt engineers still in demand?

ChatGPT prompt engineers are increasingly in demand as organizations seek to optimize AI interactions and improve chatbot performance. Skills in prompt design, natural language processing, and familiarity with AI tools are valuable, and demand is expected to grow with the expanding use of AI-powered applications.

What are the typical day-to-day responsibilities of a ChatGPT prompt engineer?

A Chatgpt Prompt Engineer spends their day crafting, testing, and refining prompts to improve the accuracy and usefulness of AI-generated responses. They often collaborate with product managers, data scientists, and developers to align prompts with business goals and integrate user feedback. Common tasks include analyzing prompt performance, troubleshooting issues, and documenting best practices for prompt creation. Staying updated on the latest advancements in language models and AI is also an important part of the role.

What are the most commonly searched types of Chatgpt Prompt Engineer jobs in Washington? The most popular types of Chatgpt Prompt Engineer jobs in Washington are:
What are popular job titles related to Chatgpt Prompt Engineer jobs in Washington? For Chatgpt Prompt Engineer jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Chatgpt Prompt Engineer jobs in Washington look for? The top searched job categories for Chatgpt Prompt Engineer jobs in Washington are:
What cities in Washington are hiring for Chatgpt Prompt Engineer jobs? Cities in Washington with the most Chatgpt Prompt Engineer job openings:
Infographic showing various Chatgpt Prompt Engineer job openings in Washington as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $131,906 per year, or $63.4 per hour.

AI/ML Software Developer with Security Clearance

InterImage, Inc.

Arlington, VA โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

**Secret OR Top Secret Clearance Required** We are seeking a highly skilled Full Stack Developer with strong software design expertise to design, build, and scale modern applications that integrate data-intensive systems and Generative AI capabilities. This role sits at the intersection of software engineering, data engineering, and AI innovation, supporting the development of enterprise solutions that leverage large datasets and advanced language models. You will work closely with cross-functional teams to architect, develop, and deploy scalable applications, while helping drive the integration of LLM/GenAI technologies into production environments. Key Responsibilities Full Stack Development * Design, develop, and maintain end-to-end web applications (front-end, back-end, and APIs) * Build scalable backend services using Python frameworks (e.g., Flask, FastAPI, Django) * Develop responsive, user-friendly front-end interfaces using modern frameworks (React, Angular, or similar) * Architect and implement RESTful and/or GraphQL APIs * Ensure application performance, scalability, and security across the stack Database & Data Engineering * Design, develop, and optimize relational and/or NoSQL database systems * Create efficient data models and schemas to support large-scale applications * Develop scripts and pipelines to ingest, transform, and manage data flows * Troubleshoot performance bottlenecks and ensure data integrity * Work with large, complex datasets to enable analytics and AI use cases Generative AI / LLM Integration * Build, test, and deploy LLM-powered applications and workflows * Integrate Generative AI capabilities into existing platforms and user experiences * Evaluate and assess LLM outputs for performance, accuracy, and usability * Implement Retrieval-Augmented Generation (RAG) pipelines and vector database integrations * Support fine-tuning, prompt engineering, and optimization of models for mission-specific use cases System Design & Architecture * Contribute to the design of scalable, distributed system architectures * Collaborate with engineers to integrate AI components into enterprise environments * Balance tradeoffs between performance, cost, and scalability * Support CI/CD pipelines and DevSecOps best practices for deployment Client & Mission Support * Translate ambiguous requirements into technical solutions * Help stakeholders understand evolving AI/technology options * Provide guidance on best practices for integrating AI into business workflows Requirements Required Qualifications * Strong experience developing Python applications from scratch, including testing and deployment * Hands-on experience with full stack development (front-end + back-end) * Proficiency with database design and management (SQL and/or NoSQL) * Experience with data wrangling, transformation, and scripting for data pipelines * Familiarity with using LLMs (e.g., ChatGPT or similar) to enhance development workflows * Experience building and consuming APIs * Understanding of software development best practices (version control, testing, CI/CD) Preferred / Nice-to-Have Qualifications * Experience deploying and managing LLMs locally and in cloud environments * Hands-on experience with fine-tuning models and integrating them into production systems * Experience building RAG solutions and working with vector databases (e.g., Pinecone, FAISS) * Knowledge of prompt engineering and content filtering techniques * Familiarity with frameworks such as LangChain, LlamaIndex, or OpenAI function calling * Experience with model distillation and optimization * Exposure to knowledge graphs and graph databases (e.g., Neo4j) * Experience working in cloud environments (AWS, Azure, or GCP) Benefits * 401K: up to 3% discretionary profit sharing contribution + 100% match on the 1st 7% of pay
* PTO: 20 days per year
* Healthcare, dental, vision, Free for a single participant
* $50,000 Life insurance provided, additional voluntary life insurance available InterImage is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. InterImage provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.