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Generative Ai Writer Jobs in Texas (NOW HIRING)

Generative AI Engineer

Houston, TX · On-site

$55 - $60/hr

Generative AI Engineer Work Location: Houston, TX Duration: 6-12 Months Contract Work Mode: Onsite ... Write production code daily. Java/Spring Boot microservices and AI integrations on AWS. Learn the ...

New

Experience in developing and applying generative AI models. * Strong understanding of machine ... Ability to write good quality and highly performant code * Evaluate and review performance aspects ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience architecting, developing, deploying, and maintaining Azure generative AI and traditional ... Outstanding verbal and written communication skills * Excellent presentation and whiteboarding ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Required : • Experience architecting, developing, deploying, and maintaining Azure generative AI ... and written communication skills • Excellent presentation and whiteboarding skills. • ...

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $82/hr

Required : • Experience architecting, developing, deploying, and maintaining Azure generative AI ... and written communication skills • Excellent presentation and whiteboarding skills. • ...

... generative AI tools such as OpenAI APIs • Knowledge of software engineering best practices including Git, version control, testing, and code reviews • Strong written and verbal communication ...

AI Content Creation

Houston, TX · On-site +1

$42K/yr

... Generative AI tools (e.g., Gemini, ChatGPT, Midjourney, Adobe Firefly) with demonstrable prompt engineering skills. * Portfolio: A strong portfolio showcasing a diverse mix of written content and ...

AI Solutions Architect

Houston, TX · On-site

$120 - $180/hr

Architect and implement Generative AI solutions, including RAG-based workflows. * Write production-quality code using Python, C#, .NET, React.js, and Node.js. * Build prototypes, proof of concepts ...

New

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Effective written and verbal communication skills. * Meticulous attention to detail and quality of ... Our AI & Data offering provides a full spectrum of solutions for designing, developing, and ...

AI Engineer (DFW Area)

Richardson, TX · On-site

$107K - $182K/yr

RealPage is at the forefront of the Generative AI revolution, dedicated to shaping the future of ... Participate in architecture and design reviews; write clear technical documentation and runbooks.

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Generative Ai Writer information

What is a generative AI writer?

A Generative AI Writer creates content using artificial intelligence tools, such as language models, to generate text for various purposes, including articles, marketing copy, scripts, and more. They refine AI-generated content for accuracy, coherence, and tone, ensuring it meets project requirements. This role often involves prompt engineering, editing, and optimizing AI outputs to enhance readability and engagement. Generative AI Writers work across industries such as media, advertising, and technology to streamline content production.

What are the key skills and qualifications needed to thrive in the generative AI writer position, and why are they important?

To thrive as a Generative AI Writer, you need strong writing skills, a solid understanding of AI-generated content processes, and familiarity with natural language processing concepts. Proficiency with AI writing tools, prompt engineering platforms, and sometimes coding languages like Python is often required, and certification in content creation or marketing can be beneficial. Creativity, adaptability, and strong communication skills help distinguish top performers in this role. These capabilities are essential for producing high-quality, contextually accurate AI-driven content and collaborating effectively with both technical and non-technical teams.

How do I become a Generative Ai Writer?

To become a Generative AI Writer, develop strong skills in natural language processing, machine learning, and AI tools such as GPT models. Gaining experience with programming languages like Python and understanding data training processes are also important. Building a portfolio of AI-generated content and staying updated on AI advancements can enhance job prospects.

What are the typical daily responsibilities of a generative AI writer?

As a Generative AI Writer, your day-to-day tasks often include designing and refining prompts for AI models, editing and fact-checking AI-generated text, and collaborating with subject matter experts to ensure technical accuracy and relevance. You may also conduct research to guide content strategy and analyze output data to improve tone, style, and cohesion. This role requires regular communication with product managers, engineers, and editors to align content with business goals and user needs. The work is dynamic and fast-paced, offering the opportunity to shape new applications of AI in content creation while developing expertise in a rapidly evolving field.

What are popular job titles related to Generative Ai Writer jobs in Texas? For Generative Ai Writer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Generative Ai Writer jobs in Texas look for? The top searched job categories for Generative Ai Writer jobs in Texas are:
What cities in Texas are hiring for Generative Ai Writer jobs? Cities in Texas with the most Generative Ai Writer job openings:
Infographic showing various Generative Ai Writer job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution.

Generative AI Engineer

Apetan Consulting llc

Houston, TX • On-site

$55 - $60/hr

Contractor

Posted 2 days ago

New


Job description

Title: Generative AI Engineer
Work Location: Houston, TX 
Duration: 6-12 Months Contract
Work Mode: Onsite from Day 1
Pay Rate Range: $50/hr. - $60/hr. on C2C
Interview: Face to Face Interview is Mandatory
 
If you've been building software for a few years, you've picked up real engineering instincts, and you're the person on your team who's already experimenting with agents and LLMs on the side — this is a chance to do that work for real, at enterprise scale, on production systems that matter.
 
What you will do:
Build agentic features, hands-on. Work alongside senior engineers to design and ship AI-powered remediation capabilities: agent workflows, retrieval pipelines, evaluation loops.
Write production code daily. Java/Spring Boot microservices and AI integrations on AWS.
Learn the full lifecycle. From an idea in a design doc to something running in production, instrumented, monitored, and improved based on real usage.
Bring fresh eyes. You're closer to the newest models, frameworks, and techniques than engineers who've been heads-down in one stack for a decade — we want that perspective in the room, not just deference to seniority.
Grow fast. Work directly with senior engineers who'll push your technical depth, and take on more ownership as you earn it.
 
Our stack
Java / Spring Boot microservices on AWS (Lambda, SQS, SNS, IAM, CloudWatch). 
AI Stack: AWS Bedrock and AgentCore, MCP for tool integration, RAG pipelines with vector and graph-based retrieval, LLM-as-judge evaluation. Some Python and Go at the edges. You won't know all of this — we're more interested in how fast you pick things up than what's already on your resume.
 
What you will bring:
4+ years building software professionally — you've shipped real features, not just coursework or side projects, and you understand what "production" demands.
Genuine curiosity about AI/agentic systems — you've built something with LLMs or agents, even outside of work: a side project, a hackathon entry, an experiment that didn't ship. We want to hear about it.
Solid engineering fundamentals — distributed systems basics, APIs, cloud infrastructure (AWS). You need to know what good code and good design look like.
You experiment and iterate ideas quickly and bring new perspectives 
 
Nice to have
Experience with multiple LLM APIs or agent frameworks
Python or Go 
POCs using AI for coding, automation, or data work 
Contributions to open source AI/ML tooling.