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Video Prompt Engineer Jobs in Washington (NOW HIRING)

KMM Technologies, Inc

AI Engineer

Rockville, MD

Rockville, MD / Tysons, VA #HYBRID Duration: 12 months #Contract Interview: 1st Video & 2nd IN ... Prompt engineering and tool usage * Fine-tuning strategies where appropriate * Guardrails and ...

KMM Technologies, Inc.

AI Engineer

Rockville, MD

$81.50K - $110.10K/yr

Rockville, MD / Tysons, VA #HYBRID Duration: 12 months #Contract Interview: 1st Video and 2nd IN ... Prompt engineering and tool usage Fine-tuning strategies where appropriate Guardrails and ...

KMM Technologies, Inc.

AI Engineer

Rockville, MD

$81.50K - $110.10K/yr

Rockville, MD / Tysons, VA #HYBRID Duration: 12 months #Contract Interview: 1st Video and 2nd IN ... Prompt engineering and tool usage Fine-tuning strategies where appropriate Guardrails and ...

10a Labs

AI Red Teamer

Washington, DC · On-site

$70K - $90K/yr

Develop and run adversarial test suites-both manual and scripted-for LLMs and image / video models ... in Jupyter or prompt-engineering tools. * Communicates clearly in English and at least one ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA

$125.40K - $165.30K/yr

... image/video analysis, facial recognition, behavior detection, and automated discovery. * Apply ... Experience with prompt engineering beyond traditional code writing and debugging. Understanding of ...

SOSi

Machine Learning Engineer- Senior

Chantilly, VA · On-site

$125.40K - $165.30K/yr

... image/video analysis, facial recognition, behavior detection, and automated discovery. * Apply ... Experience with prompt engineering beyond traditional code writing and debugging. Understanding of ...

10a Labs

AI Red Teamer

Washington, DC · On-site +1

$70K - $90K/yr

Develop and run adversarial test suites-both manual and scripted-for LLMs and image / video models ... in Jupyter or prompt-engineering tools. * Communicates clearly in English and at least one ...

Eliassen Group

Lead AI Engineer

Rockville, MD · On-site +1

$99 - $110/hr

... video. * Build multimodal extraction using OCR, layout parsing, and vision-language models ... Evaluate LLMs for action-specific tasks and implement prompt engineering and tool usage. * Apply ...

Eliassen Group

Lead AI Engineer

Rockville, MD · On-site +1

$99 - $110/hr

... video. * Build multimodal extraction using OCR, layout parsing, and vision-language models ... Evaluate LLMs for action-specific tasks and implement prompt engineering and tool usage. * Apply ...

VTG

Test Engineer (Associate/Journey level)

Washington, DC · On-site

$115K - $160K/yr

... Prompt Strike customer at the Washington Navy Yard in Washington, DC . As a Program Analyst, you ... Video Teleconferencing (VTC). * Maintain organized, complete, and accurate paper and electronic ...

VTG

Test Engineer (Associate/Journey level)

Washington, DC · Hybrid

$115K - $160K/yr

... Prompt Strike customer at the Washington Navy Yard in Washington, DC . As a Program Analyst, you ... Video Teleconferencing (VTC). * Maintain organized, complete, and accurate paper and electronic ...

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Video Prompt Engineer information

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 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 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.

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
AI Engineer

AI Engineer

KMM Technologies, Inc

Rockville, MD

Other

Posted 16 days ago

Job description

KMM – an ISO 9001:2015, CMMI Level 2 certified company – provides high-quality IT consulting services and innovative solutions by using the most effective and modern technologies. We have a core group of Subject Matter Experts with certifications and immense experience in successfully delivering mission-critical solutions. We have extensive industry experience in the financial, insurance, Health IT, media, marketing, retail, and government markets. We have a proven track record in understanding client’s business challenges, determine a customer-focused solution, and provide the technical implementation and documentation to bring it to fruition.

Position: Lead AI Engineer
Location: Rockville, MD / Tysons, VA #HYBRID
Duration: 12 months #Contract 
Interview: 1st Video & 2nd IN-Person

Job Description:

Lead AI Engineer – Compliance Screening Platform
About the Role:

  • We are seeking a Lead AI Engineer to design and build an AI-powered compliance screening platform that evaluates communications for adherence to regulatory standards and industry guidelines.
  • This is a high-impact role at the intersection of artificial intelligence, regulatory compliance, and risk management. You will lead the development of systems that analyze content across formats (PDFs, emails, social media, video) and generate auditable, explainable compliance decisions.

What You'll Do
AI System Architecture:

-Design and implement end-to-end pipelines for:

  • Document ingestion (PDF, HTML, images, video/audio)
  • Multimodal extraction (OCR, layout parsing, vision-language models)
  • LLM-driven compliance reasoning

-Build scalable retrieval-augmented generation (RAG) systems grounded in regulatory content

Compliance Intelligence:

-Translate regulatory frameworks into machine-interpretable logic

-Develop:

  • Rule classifiers (e.g., performance claims, disclosures)
  • Risk scoring models
  • Violation detection workflows

LLM & Model Strategy:

-Evaluate LLMs that are specific for actions

-Implement:

  • Prompt engineering and tool usage
  • Fine-tuning strategies where appropriate
  • Guardrails and hallucination mitigation techniques

-Integrate multimodal models for charts, images, and disclosures

Explainability & Auditability:

-Build systems that generate:

  • Clear, regulator-ready explanations
  • Evidence-backed decisions (text spans linked to rules)

-Ensure full audit trails for all AI-driven outputs

-Expert-level understanding of LLM evaluation frameworks (deepeval preferred)

Evaluation & Risk Management:

-Define and track key metrics (precision, recall, false negatives)

-Implement human-in-the-loop review workflows

-Conduct adversarial and edge-case testing

-Continuously improve model performance and reliability

Technical Leadership:

Establish best practices for architecture, coding, and MLOps

Collaborate cross-functionally with compliance, legal, and product teams

Mentor a team of engineers on best AI/ML practices

Qualifications:

-Bachelor's or Master's degree in Computer Science, AI/ML, or related field

-PhD preferred but not required

-8+ years of experience in software engineering or machine learning

-Proven track record of building and deploying production AI/ML systems

-Experience in regulated industries (finance, legal, healthcare) strongly preferred

Technical Skills:

-AI / Machine Learning

-Strong expertise in:

  • NLP and large language models (LLMs)
  • Retrieval-augmented generation (RAG)
  • Model evaluation and benchmarking

-Familiarity with multimodal AI (text + image + layout)

Tools & Frameworks:

-Python ecosystem

-Experience with LLM orchestration or agent frameworks such as:

  • LangChain, AWS Strands

-Vector databases (e.g., PG Vector, Pinecone)

-Document processing pipelines (OCR, PDF parsing tools)

Systems & Infrastructure:

-Cloud platforms (AWS, Google Cloud Platform, or Azure)

-MLOps, CI/CD pipelines, and model monitoring

-Scalable system design and distributed architectures

Compliance & Risk Awareness (Highly Desired):

-Experience with explainable AI (XAI)

-Understanding of auditability and governance requirements

-Exposure to industry regulations and compliance frameworks is a strong plus

Preferred Qualifications:

-Experience building legal or compliance-focused AI systems

-Familiarity with marketing/advertising review processes

-Experience analyzing structured and unstructured documents (including charts and disclosures)

-Background in hybrid AI systems (rules + machine learning)

Thanks & Regards,

--

LAXMAN

KMM Technologies, Inc.

CMMI Level 2 | ISO 9001 | ISO 20000 | ISO 27000 Certified

Tel:  |Email: 

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