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Video Prompt Engineer Jobs in Texas (NOW HIRING)

Gainwell Technologies LLC

Expert AI Engineer

Houston, 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

Gainwell Technologies LLC

Expert AI Engineer

Dallas, 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

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

Anveta Inc

Data Engineer

Westlake, TX · On-site

$60/hr

Online Coding Test, Web-Video call Internal Interview then final disucssion with the End Customer ... Hands-on tuning, prompt engineering, and optimization of Large Language Models (LLMs) to align with ...

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX

$107K - $182K/yr

Basic multimodal use cases (text + image, text + document, and soon video/audio) * Design and ... Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve ...

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX

Basic multimodal use cases (text + image, text + document, and soon video/audio) * Design and ... Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve ...

RealPage, Inc.

AI Engineer (DFW Area)

Richardson, TX · On-site

$107K - $182K/yr

Basic multimodal use cases (text + image, text + document, and soon video/audio) * Design and ... Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve ...

Accelerize 360

Senior B2B Content Writer

Dallas, TX · On-site

Working with our video producer, you'll script project recap videos, demo overlays, and ... We don't need an AI prompt engineer. We need someone who's already built personal workflows that ...

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 ...

Infosys

Gen AI Solution Engineer

Dallas, TX · On-site

... prompt engineering, and context management. • Experience integrating GenAI with Azure OpenAI, AWS ... or video generation. • Familiarity with DevOps and IaC tooling (GitHub Actions, Jenkins ...

ISHIR

AI Native Developer

Plano, TX · On-site

... DevOps, Slack, and video standups • Translate client decisions and feedback into clear ... OpenAI) -- prompt engineering, RAG, tool/function calling • Solid agile delivery experience ...

AxisCare

QA Engineer

Waco, TX · On-site

- QA Engineer Reports to - Director of QA PositionSummary We are seeking a skilled and detail ... video submissions go right to the front of the line. Prompt: Tell us about a project where you ...

AxisCare

QA Engineer

Waco, TX · On-site

- QA Engineer Reports to - Director of QA Position Summary We are seeking a skilled and detail ... video submissions go right to the front of the line. Prompt: Tell us about a project where you ...

RealPage, Inc.

Agentic AI Developer III

Richardson, TX

$129K - $220K/yr

We are seeking an AI Engineer to help us with the development, deployment, and scaling of advanced ... Prompt Engineering & Guardrails * Design and optimize prompts and system instructions to: * Improve ...

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All JobsVideo Prompt Engineer JobsVideo Prompt Engineer Jobs in Texas

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 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 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.

What are popular job titles related to Video Prompt Engineer jobs in Texas? For Video Prompt Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Video Prompt Engineer jobs in Texas look for? The top searched job categories for Video Prompt Engineer jobs in Texas are:
What cities in Texas are hiring for Video Prompt Engineer jobs? Cities in Texas with the most Video Prompt Engineer job openings:
Video Prompt Engineer jobs near you
Infographic showing various Video Prompt Engineer job openings in Texas as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 100% In-person job distribution.

Sr Machine Learning Engineer( Austin only)

Autonomize Inc

Austin, TX • On-site

$103K - $142K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 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