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Video Prompt Engineer Jobs in Washington (NOW HIRING)

Knexus

A.I Adoption Specialist

Vienna, VA · On-site

Design and lead interactive training bootcamps,prompt-engineering workshops, and office hours ... Rapidly produce bite-sized, practical enablementresources-including "How-To" quick guides, video ...

Knexus

A.I Adoption Specialist

Vienna, VA · On-site

$145K - $185K/yr

Design and lead interactive training bootcamps, prompt-engineering workshops, and office hours ... Rapidly produce bite-sized, practical enablement resources-including "How-To" quick guides, video ...

EMD LLC

Network and Systems Integrator

Woodbridge, VA · On-site

... Video Management Systems, and Environmental/Power Monitoring Systems. The Systems Integrator ... cmd prompt, tasks, UNC paths) · Active Directory and DNS · Command Line Interface · SSH and ...

Eliassen Group

Senior Network Engineer

Washington, DC · On-site

$117K - $161K/yr

... Video Teleconferencing, VPN and ADC's) as well as network related services (DNS and DHCP) and ... Work with the support staff to provide prompt resolution of staff network problems and requests

Eliassen Group

Senior Network Engineer

Washington, DC · On-site

$117K - $161K/yr

... Video Teleconferencing, VPN and ADC's) as well as network related services (DNS and DHCP) and ... Work with the support staff to provide prompt resolution of staff network problems and requests

Pewtrusts

Associate Director, Data Labs

Washington, DC · Hybrid

$167K/yr

... few-shot classification, LLM prompt engineering, and model evaluation best practices ... Experience with multimodal data processing, including audio, video, and image data; familiarity ...

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Video Prompt Engineer information

What is a video prompt engineer?

A Video Prompt Engineer is a professional who designs and optimizes prompts to guide artificial intelligence (AI) systems in generating or editing video content. They work closely with AI models to fine-tune instructions, ensuring the resulting videos meet specific creative, technical, or business goals. Their responsibilities often include scripting effective prompts, testing AI outputs, and collaborating with developers and creatives to enhance video quality and relevance. As AI video tools become more advanced, the role of a Video Prompt Engineer is becoming increasingly important in industries like advertising, entertainment, and digital content creation.

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

To thrive as a Video Prompt Engineer, you need expertise in video production, scripting, and an understanding of AI prompt engineering, often supported by experience with media editing tools and a background in computer science or related fields. Familiarity with platforms like Adobe Premiere, After Effects, and generative AI systems such as OpenAI, Runway, or Synthesia is typically required. Strong creativity, attention to detail, and effective communication skills help in crafting prompts that yield high-quality, contextually relevant video outputs. These abilities are crucial for bridging the gap between technical AI capabilities and compelling visual storytelling, ensuring that generated video content meets project objectives.

What are some typical challenges video prompt engineers face when collaborating with creative teams?

Video Prompt Engineers often work closely with creative teams to develop prompts that yield visually engaging and contextually accurate video outputs from generative AI models. One common challenge is translating creative concepts into precise, technical prompts that the AI can interpret effectively. Balancing the creative vision with the technical constraints of the model requires strong communication and iterative problem-solving. Additionally, staying updated on the latest advancements in generative video technology is essential to ensure the prompts leverage new capabilities while maintaining high-quality results.

What is the difference between Video Prompt Engineer vs AI Content Creator?

AspectVideo Prompt EngineerAI Content Creator
Required CredentialsKnowledge of AI models, prompt engineering, multimedia toolsCreativity, familiarity with AI tools, content development
Work EnvironmentTech companies, media agencies, AI startupsDigital media, marketing firms, content platforms
Industry UsageAI-driven video production, multimedia projectsSocial media, advertising, online content
Search & Comparison IntentUnderstanding roles in AI video creationCreating AI-generated content for digital platforms

The main difference is that a Video Prompt Engineer specializes in designing prompts for AI models to generate videos, focusing on technical prompt optimization. An AI Content Creator develops digital content using AI tools, often across various media types. While both roles involve AI and creativity, the Video Prompt Engineer is more technical and focused on video-specific prompts, whereas the AI Content Creator emphasizes content production and storytelling across platforms.

Are prompt engineers still in demand?

Prompt engineers, especially those working with AI and machine learning models, are increasingly in demand as organizations seek to optimize AI outputs and develop advanced applications. Skills in natural language processing, AI tools, and prompt design are valuable in industries such as technology, entertainment, and marketing, with job growth expected to continue as AI adoption expands.

How can I become a video prompt engineer?

To become a video prompt engineer, develop skills in AI and machine learning, particularly in natural language processing and computer vision. Gain experience with video editing tools, scripting, and prompt design, and consider earning certifications in AI or related fields. Building a portfolio of projects and staying updated on emerging AI technologies can also enhance your qualifications.

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

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

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

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

What cities in Washington are hiring for Video Prompt Engineer jobs?

Cities in Washington with the most Video Prompt Engineer job openings:

Video Prompt Engineer jobs near you

Agent Engineer San Francisco CA

AHU Technologies Inc

Washington, DC • On-site

$160K - $200K/yr

Full-time

Re-posted 19 days ago

Key responsibilities

  • Build and maintain agent runtimes supporting planning, tool usage, memory, retrieval, context management, and workflow execution

  • Orchestrate multiple AI models and providers across various generation workflows

  • Design routing, retry mechanisms, fallbacks, latency optimization, cost controls, and failure recovery systems

Job description

Position: Agent Engineer
Visa Status: US Citizens and Green Card Holders (Only)
Location: San Francisco, CA (On-site)
Employment Type: Full-Time
Experience Required: 10+ Years

About the Role
We are seeking an experienced Agent Engineer to build and scale the agent and workflow layer behind a cloud-based creative platform. The ideal candidate has experience shipping production AI or backend systems, understands agent runtime behavior, and can design reliable model orchestration beyond basic prompt-based applications.
This role focuses on developing intelligent workflow systems that integrate multiple AI models, tools, and services across image, video, audio, text, and other creative workflows.
Key Responsibilities
  • Build and maintain agent runtimes supporting planning, tool usage, memory, retrieval, context management, and workflow execution.
  • Orchestrate multiple AI models and providers across various generation workflows.
  • Design routing, retry mechanisms, fallbacks, latency optimization, cost controls, and failure recovery systems.
  • Develop workflow memory systems that preserve project context, assets, templates, style preferences, and previous outputs.
  • Implement evaluation frameworks, regression testing, benchmarking, human review workflows, and quality metrics.
  • Improve production reliability through queue management, monitoring, cancellation handling, progress tracking, and graceful recovery mechanisms.
  • Collaborate with cross-functional teams to deliver scalable and user-friendly AI workflow solutions.
Required Qualifications
  • 3+ years of experience building and shipping AI, agent-based, backend, infrastructure, or production software systems.
  • Strong proficiency in Python and/or TypeScript.
  • Experience with backend development, databases, queues, observability, and production reliability practices.
  • Hands-on experience with agent architectures, including planning, tool use, memory, retrieval, context management, and workflow execution.
  • Experience orchestrating multiple AI models and providers, including routing, retries, fallbacks, latency optimization, and cost management.
  • Experience building evaluation frameworks, regression testing systems, quality metrics, or A/B testing environments.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Ability to work on-site in San Francisco.
Preferred Qualifications

Creative AI Systems
  • Experience working with image, video, audio, TTS/STT, lipsync, upscaling, or related generative AI pipelines.
  • Experience maintaining reliable generation workflows at scale.
Workflow & Runtime Systems
  • Experience with workflow engines, node-based systems, visual programming environments, automation runtimes, or similar platforms.
  • Strong understanding of queues, state management, retries, and recovery mechanisms.
Quality & Evaluation
  • Experience designing AI evaluation systems, regression testing, human review workflows, and benchmarking frameworks.
  • Ability to measure and improve AI output quality in production environments.
What Success Looks Like
  • Building reliable agent workflows that scale efficiently in production.
  • Improving workflow quality, reliability, and user experience.
  • Delivering robust orchestration across multiple AI systems and providers.
  • Establishing strong evaluation and monitoring practices for AI behavior.