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Video Prompt Engineer Jobs in Austin, TX (NOW HIRING)

Gainwell Technologies LLC

Expert AI Engineer

Austin, TX · On-site

$147K - $210K/yr

... prompt engineering, model optimization and inference efficiency. * Strong programming skills in ... Video cameras must be used during all interviews, as well as during the initial week of orientation

Sogeti

Senior Gen AI Engineer

Austin, TX · On-site

$103K - $142K/yr

Utilize your experience with GenAI to implement chunking, embedding, and prompt engineering ... Please be aware that Capgemini may capture your image (video or screenshot) during the interview ...

Unisys

Field Engineer Technician

Austin, TX · On-site

Video Interview At Unisys, we incorporate video interviews as a key part of our hiring process ... Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

Unisys

Field Engineer Technician

Austin, TX · On-site

Video Interview At Unisys, we incorporate video interviews as a key part of our hiring process ... Prompt 4). US job seekers can find more information about Unisys' EEO commitment here.

Roku

Software Engineer, Embedded Agentic AI

Austin, TX · On-site

$130K - $171K/yr

Own end-to-end agentic systems from concept to production, including model selection, prompt and ... Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and ...

Ercot

AI Governance & Enablement Lead

Taylor, TX · On-site

Create internal enablement resources such as quick start guides, FAQs, video walkthroughs, and use ... Working knowledge of generative AI tools and concepts such as prompt engineering, agents, context ...

Meta

Product Policy Manager, GenAI

Austin, TX · On-site +1

$153K/yr

Experience developing policies for governing multi-modal (image, video, audio) generative AI ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

GenAI Product Policy Manager

Austin, TX

$122K/yr

Experience developing policies for governing multi-modal (image, video, audio) generative AI ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

Meta

AI Content Strategy Lead

Austin, TX

$182K/yr

This role spans the full breadth of AI-generated marketing content, including copy, image, video ... Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration ...

All JobsVideo Prompt Engineer JobsVideo Prompt Engineer Jobs in Austin, TX

Video Prompt Engineer information

See Austin, TX salary details

$30.2K

$87.5K

$138.3K

How much do video prompt engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for video prompt engineer in Austin, TX is $87,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,400.00 and $107,500.00 per year, depending on experience, location, and employer.

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 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.

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.

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.

How do 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 relevant tools and platforms such as generative AI models, video editing software, and scripting languages like Python. Building a portfolio of projects and staying updated on industry advancements can also improve job prospects.

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 Austin, TX? For Video Prompt Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Video Prompt Engineer jobs in Austin, TX look for? The top searched job categories for Video Prompt Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Video Prompt Engineer jobs? Cities near Austin, TX with the most Video Prompt Engineer job openings:
Video Prompt Engineer jobs near you
Infographic showing various Video Prompt Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $87,527 per year, or $42.1 per hour.

Sr Machine Learning Engineer( Austin only)

Autonomize Inc

Austin, TX • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 21 days ago

Job description

About Autonomize AI
Autonomize AI is revolutionizing healthcare by streamlining knowledge workflows with AI. We reduce administrative burdens and elevate outcomes, empowering professionals to focus on what truly matters - improving lives. We're growing fast and looking for bold, driven teammates to join us.
The Opportunity
As a Senior Machine Learning Engineer at Autonomize, you will lead the development and deployment of machine learning solutions with an emphasis on large language models (LLMs), vision models, and classic NLP (Natural Language Processing) models. The ideal candidate will have a proven track record in these areas, particularly within healthcare contexts, and will play a significant role in advancing our AI-driven healthcare optimized AI Copilots and Agents.
Key Responsibilities
  • Help fine-tune or prompt engineer large language models (LLMs) for various healthcare applications across various customer engagements.

  • Develop and refine our approach to handling vision based data using state-of-the-art VLM based models capable of processing and analyzing medical documents, healthcare forms in various formats and other visual data accurately.

  • Create and enhance classic NLP models to understand and generate human language in healthcare settings, supporting clinical documentation, and patient interaction.

  • Collaborate with multi-disciplinary teams including data scientists,ml engineers, healthcare clients, and product managers to deliver robust solutions.

  • Ensure models are efficiently deployed and integrated into healthcare systems, maintaining high performance and scalability.

  • Mentor and provide guidance to junior engineers and data scientists, fostering a culture of continuous learning and innovation.

  • Conduct rigorous testing, validation, and tuning of models to ensure accuracy, reliability, and compliance with healthcare standards.

  • Deep understanding of various training techniques including distributed training on GPUs and TPUs.

  • Stay informed on the latest research, tools, and technologies in machine learning, particularly those applicable to language and vision processing in healthcare.

  • Document methodologies, model architectures, and project outcomes effectively for both technical and non-technical audiences.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.

  • 5-7 years of experience in machine learning engineering, with a significant track record in the developing production grade models and model pipelines in a regulated industry such as healthcare.

  • Hands-on expertise in working with large language models (e.g., GPT, BERT), computer vision models, and classic NLP technologies.

  • Proficient in programming languages such as Python, with extensive experience in ML libraries/frameworks like TensorFlow, PyTorch, OpenCV, etc.

  • Strong understanding of deep learning techniques, model fine-tuning, hyper parameter optimization, and model optimization

  • Proven experience in deploying and managing ML models in production environments.

  • Excellent analytical skills, with a problem-solving mindset and the ability to think strategically.

  • Strong communication skills for articulating complex concepts to diverse audiences.

  • Working knowledge or experience in MLOps and LLMOps using tools like mlflow, kubeflow

  • Working knowledge of basic software engineering principles and best practices

  • Demonstrated working knowledge and experience on classic ML techniques and frameworks.

  • Nice to have : Knowledge of Cloud vendor based ML Platforms such as Azure ML, Sagemaker

Who you are as a person/leader
  • Owner mentality - For you, the buck stops at you, You own it, you will learn it, and you will get it done

  • You are naturally curious. Always experimenting than hypothesizing - You like to push boundaries, you figure things out and experiment your way through any problem

  • You are passionate, unafraid & loyal to the team & mission

  • You love to learn & win together

  • You communicate well through voice, writing, chat or video, and work well with a remote/global team

Nice to have competencies
  • Large/Complex organization experience in deploying NLP/ML in production

  • Experience in efficiently scaling ML model training and inferencing

  • Experience with Big Data technologies using Kafka, Spark, Hadoop, Snowflake

What We Offer
  • A chance to make a real impact in the future of healthcare

  • Autonomy, ownership, and the ability to chart your own growth path

  • Competitive compensation and benefits

  • 100% employer-paid health, vision, and dental insurance

  • Retirement plans (401k), disability insurance, employee assistance programs

How to Apply
Send your resume and a brief cover letter to careers@autonomize.ai explaining why you're the right partner for this mission.

Apply