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Prompt Jobs in Texas (NOW HIRING)

Gen AI Engineer

Irving, TX ยท On-site

$90K - $120K/yr

... Prompt Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique - Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to have ...

... Prompt medicating patients, prompt acknowledgement of orders, Rehab experience is helpful; Rehab experience is helpful; Agency travel/prn required Able to receive directions with a positive attitude ...

AI Developer

Austin, TX ยท On-site

Build and maintain AI solutions leveraging Azure AI Foundry, including model selection, prompt orchestration, evaluation, and deployment patterns, with a focus on reliable and customercentric ...

AI Developer

Austin, TX ยท On-site

Build and maintain AI solutions leveraging Azure AI Foundry, including model selection, prompt orchestration, evaluation, and deployment patterns, with a focus on reliable and customercentric ...

Will float as needed 2 W and 3 W both M/S Experience Required: 3 year(s) previous Med/Surg experience, Excellent time management skills, Prompt medicating patients, prompt acknowledgement of orders ...

AI Engineer

Fort Worth, TX ยท On-site

$114K - $150K/yr

Create intuitive UI/UX experiences for AI chatbots, agent workbenches, document intelligence platforms, prompt playgrounds, feedback loops, approval workflows, and human-in-the-loop systems.

Build AI-powered applications utilizing RAG, LLMs, prompt engineering, and enterprise data integration. * Architect AI-ready data solutions using Microsoft Fabric and OneLake. Key Requirements:

Agentic AI Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Apply LLMOps best practices including prompt engineering, prompt versioning, evaluation, monitoring, logging, observability, and performance optimization. * Define and execute testing strategies for ...

Sr Data Scientist GenAI

Dallas, TX ยท On-site

$150K - $210K/yr

... prompt engineering, RAG (Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to ...

Train business teams on Microsoft Power Automate, Databricks, AI tools, and prompt engineering . * Identify, design, and implement AI and automation solutions to improve business processes.

Build infrastructure for routing and managing LLM service calls, develop prompt engineering and completion pipelines, and integrate retrieval-augmented generation (RAG) frameworks. * Design and ...

Sr AI/Agentic Engineer

Dallas, TX ยท Hybrid

$103K - $142K/yr

Shared AI platform components - prompt registry, tool-calling framework, evaluation harness, retrieval infrastructure, and the inference routing layer that every product team consumes. * The ...

Showing results 41-60

Prompt information

See Texas salary details

$9

$15

$23

How much do prompt jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for prompt in Texas is $15.36, according to ZipRecruiter salary data. Most workers in this role earn between $13.41 and $16.11 per hour, depending on experience, location, and employer.

What is a prompt engineer?

Prompt engineers are professionals who specialize in designing, refining, and optimizing prompts for artificial intelligence models, particularly large language models like ChatGPT. Their work involves crafting queries that elicit accurate, relevant, and useful responses from AI systems. Prompt engineers often collaborate with developers, data scientists, and product teams to improve AI interactions, troubleshoot issues, and enhance user experience. As AI technology evolves, prompt engineering is becoming an increasingly important skill for leveraging the full potential of language models.

What are common challenges faced by prompt engineers when developing effective prompts for AI models?

Prompt Engineers often encounter challenges such as ensuring prompts are clear, unbiased, and consistently produce accurate outputs across various scenarios. Balancing specificity and flexibility in prompts to achieve reliable results can be complex, especially when working with evolving AI models. Collaborating closely with data scientists, product managers, and end users is crucial to iteratively test and refine prompts, making adaptability and strong communication vital skills in this role.

What skills and qualifications are needed to thrive as a prompt engineer?

To thrive as a Prompt Engineer, you need strong skills in natural language processing, programming (often Python), and a solid understanding of AI/ML concepts, typically supported by a degree in computer science or a related field. Familiarity with tools like OpenAI's API, prompt-tuning frameworks, and version control systems such as Git is commonly required. Excellent problem-solving, creativity, and clear communication help you design effective prompts and collaborate with cross-functional teams. These skills and qualities are crucial for optimizing AI model performance and delivering innovative solutions for complex tasks.

What is the difference between Prompt vs Data Analyst?

AspectPrompt
Required CredentialsTypically no formal credentials; familiarity with AI and NLP tools
Work EnvironmentTech companies, AI labs, remote or office settings
Industry UsageAI development, content creation, chatbot design
Common Search IntentUnderstanding AI prompt engineering and optimization

While Prompt specialists focus on designing inputs for AI models, Data Analysts interpret data to inform decisions. Both roles require analytical skills, but Prompt roles emphasize AI interaction, whereas Data Analysts work with structured data analysis.

What are the most commonly searched types of Prompt jobs in Texas? The most popular types of Prompt jobs in Texas are:
What cities in Texas are hiring for Prompt jobs? Cities in Texas with the most Prompt job openings:
Infographic showing various Prompt job openings in Texas as of August 2026, with employment types broken down into 77% Full Time, 21% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $31,947 per year, or $15.4 per hour.

Lead .Net Full Stack Developer

Nitor Infotech

Austin, TX โ€ข On-site

$58.50 - $76.50/hr

Other

Re-posted 8 days ago


Job description

Role Overview
We are seeking a highly experienced Application Lead to work on the design, architecture, and delivery of enterprise-grade solutions. This role requires strong ownership of end-to-end system architecture, strategic technical decision-making, and leadership of cross-functional engineering teams. 
KEY RESPONSIBILITIES 
Architecture & Solution Design
- Define and own end-to-end system architecture (APIs, frontend, and data layer)
- Create architecture diagrams, technical blueprints, and design documentation
- Design scalable, secure, and high-performance GenAI systems using a spec-driven approach
- Establish best practices for modular, reusable, and production-ready system design 


AI / GenAI Engineering
- Architect and implement solutions using Claude API, LLMs, and agentic AI frameworks
- Design multi-agent systems, MCP integrations, and tool-based workflows
- Build and optimize RAG pipelines with vector databases and retrieval strategies
- Define prompt engineering standards, structured outputs, and evaluation frameworks 
Leadership & Delivery
- Lead and mentor a team of engineers and developers
- Drive technical planning, task allocation, and delivery timeline
- Conduct code reviews and enforce engineering best practices
- Collaborate with product, design, and engineering stakeholders 
Engineering & Platform
- Oversee backend development using .NET
- Ensure robust deployment practices using Docker, CI/CD, and AWS
- Drive system performance, scalability, monitoring, and reliability
REQUIRED QUALIFICATIONS
- 8+ years of experience in software engineering
- Strong expertise in system architecture and distributed system design
- Hands-on experience with LLMs (Claude, GPT) and Generative AI systems
- Deep understanding of RAG, agentic AI, and prompt engineering techniques
- Strong proficiency in .NET and backend system development
- Proven experience in leading engineering teams and driving technical delivery
- Experience with spec-driven development and enterprise-grade system design 
TECH STACK
Application: Angular, .Net, .Net Core (Good to Have Python, FastAPI)
Database: PostgreSQL
Architecture: Microservices, API orchestration, scalable system design
Cloud & DevOps: Docker, CI/CD, AWS

AI / GenAI: Claude API, MCP,  LLMs (Claude, GPT, open source)
AI Patterns: Agentic AI, RAG, Vector Databases, Prompt Engineering