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Temporary Ai Prompt Engineer Jobs in Washington (NOW HIRING)

eSolutionsFirst, LLC

AI Engineer

Mclean, VA · On-site

Develop RAG pipelines, prompt engineering, function/tool calling, context management, and agent ... Hands-on experience with AI/ML, LLMs, Generative AI, prompt engineering, and tool/function calling.

New

Blend360

Lead AI Engineer

Columbia, MD · On-site

$125K - $180K/yr

As a Data Scientist - Applied AI & Prompt Engineering, you will design, build, and deploy LLM-powered solutions that directly impact our products and users. You'll work hands-on with LLMs ...

Blend360

Lead AI Engineer

Columbia, MD · On-site

As a Data Scientist - Applied AI & Prompt Engineering, you will design, build, and deploy LLM-powered solutions that directly impact our products and users. You'll work hands-on with LLMs ...

Blend360

Lead AI Engineer

Columbia, MD · On-site

$125K - $180K/yr

As a Data Scientist - Applied AI & Prompt Engineering, you will design, build, and deploy LLM-powered solutions that directly impact our products and users. You'll work hands-on with LLMs ...

Cynet Systems

QA Test Engineer with AI/ML

Columbia, MD · On-site

$57.40 - $62.40/hr

Detailed knowledge of Salesforce applications, ML model lifecycle, and Generative AI concepts including LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases. * 3+ ...

New

CYNET SYSTEMS

QA Test Engineer with AI/ML

Columbia, MD · On-site

$57 - $62/hr

Detailed knowledge of Salesforce applications, ML model lifecycle, and Generative AI concepts including LLMs, prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases. * 3+ ...

New

MetroStar

Sr. AI Engineer I (Salesforce) (6637)

Washington, DC · On-site

$142K - $173K/yr

As Sr. AI Engineer I (Salesforce) , you'll support a Salesforce-centered modernization and digital ... Implement AI-driven workflow automation leveraging Agentforce, Prompt Builder, Einstein AI, Data ...

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Temporary Ai Prompt Engineer information

What is a Temporary AI Prompt Engineer?

A Temporary AI Prompt Engineer is a professional hired for a short-term contract to design, test, and refine prompts that guide artificial intelligence models, like ChatGPT, to produce accurate and relevant responses. Their main responsibilities include understanding project requirements, crafting effective prompts, analyzing model outputs, and iteratively improving the prompts to achieve desired outcomes. This role is especially important in organizations that need rapid development or scaling of AI tools without long-term staffing commitments. Temporary AI Prompt Engineers often collaborate with data scientists, product managers, and developers to ensure the AI meets business objectives. The position typically requires strong language skills, analytical thinking, and familiarity with AI models.

What are the key skills and qualifications needed to thrive as a Temporary AI Prompt Engineer?

To thrive as a Temporary AI Prompt Engineer, you need a strong background in language models, prompt engineering, and data analysis, often supported by experience with AI development or a related degree. Familiarity with tools like OpenAI's GPT platform, prompt optimization frameworks, and version control systems such as Git is typically required. Creativity, problem-solving, and clear written communication are essential soft skills for crafting effective prompts and collaborating with team members. These skills ensure the delivery of high-quality, impactful AI outputs and enable rapid adaptation in a fast-evolving technical environment.

What are some common challenges faced by Temporary AI Prompt Engineers, and how can they effectively address them?

Temporary AI Prompt Engineers often face the challenge of quickly adapting to new AI models and internal tools within a limited timeframe. They must efficiently learn company-specific requirements, collaborate with cross-functional teams, and deliver high-quality prompts under tight deadlines. Success in this role relies on clear communication, proactive problem-solving, and the ability to iterate rapidly based on feedback. Building strong relationships with team members and leveraging available documentation can help temporary engineers transition smoothly and make meaningful contributions during their assignment.

What is the difference between Temporary Ai Prompt Engineer vs Data Scientist?

AspectTemporary Ai Prompt EngineerData Scientist
Required CredentialsOften a degree in computer science, AI, or related fields; familiarity with AI toolsDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, freelance projects; project-based rolesResearch institutions, tech firms, corporate analytics teams; ongoing projects
Employer & Industry UsagePrimarily in AI development, content creation, and product testingData analysis, predictive modeling, business insights

While both roles require technical skills and familiarity with data and AI tools, Temporary Ai Prompt Engineers focus on crafting prompts for AI models in short-term projects, whereas Data Scientists analyze data to inform business decisions over longer periods.

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

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

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Cities in Washington with the most Temporary Ai Prompt Engineer job openings:

Temporary Ai Prompt Engineer jobs near you

Oracle Configurator/Prompt Engineer

Accenture Federal Services

Washington, DC

Full-time

Re-posted 14 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

51st of 500 rated business services

Job description

You Are: Oracle Configurator/Prompt Engineer

The Work:

The Oracle Configurator / Prompt Engineer is responsible for designing, configuring, and optimizing Oracle Cloud ERP experiences using AIdriven logic, custom prompts, and agentbased workflows. This role blends Oracle functional configuration expertise with advanced prompt engineering to improve accuracy, accelerate decisionmaking, reduce manual effort, and enhance user interaction across Finance, Supply Chain, HCM, Projects, and Technical Operations. The engineer builds prompts, configures ERP modules, validates AIbased responses, and supports continuous enhancement of intelligent Oracle workflows.

Key Responsibilities:

  • Configure Oracle Cloud ERP modules to meet business requirements
  • Maintain workflows, rules, catalogs, value sets, approval hierarchies, reporting structures, and personalization layers
  • Partner with functional teams to refine requirements, troubleshoot configuration challenges, and implement enhancements
  • Develop, refine, and optimize prompts that drive Oracle AI assistants, conversational interfaces, and automation flows
  • Build and configure agentbased automations that process ERP transactions, retrieve data, evaluate conditions, and suggest or take actions
  • Test prompts, agent logic, and Oracle configurations across SIT, UAT, and production cycles
  • Validate system responses for accuracy, traceability, and alignment with business rules
  • Maintain test scripts, evaluation harnesses, simulation scenarios, and acceptancecriteria checklists
  • Support continuous optimization of AIdriven workflows and Oracle ERP configuration

Here's What You Need:

  • Experience configuring Oracle Cloud ERP
  • Handson understanding of Oracle workflows, value sets, rules engines, APIs, and reporting tools
  • Strong knowledge of AI/LLM prompt engineering, including prompt structuring, testing, and refinement
  • Ability to analyze large enterprise datasets and map them to AI agent logic
  • Strong problemsolving, analytical, and communication skills

Eligibility Requirements:

  • Must be a U.S. Citizen

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