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Prompt Engineering Ai Jobs in Texas (NOW HIRING)

Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph. * Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical & Report Writing * Content Review & Editing * Data Annotation * Data Interpretation * Fact Checking

AI Engineering Associate Director

Plano, TX · On-site

$151.40 - $202.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop solutions using modern AI engineering patterns, including retrieval‑augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural ...

AI product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation. You'll work closely with product managers, who will provide requirements and ...

AI product lines. This role combines linguistic creativity, AI prompt engineering, and real-world experimentation. You'll work closely with product managers, who will provide requirements and ...

AI Prompt Engineer (TIBCO)- Dallas, TX

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Stay updated on the latest advancements in AI, NLP, and prompt engineering techniques other responsibilities specific to TIBCO implementation Required prompt engineer skills and qualifications 8 ...

AI Prompt Engineer (TIBCO)- Dallas, TX

Dallas, TX · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt engineering techniques • other responsibilities specific to TIBCO implementation Required prompt engineer skills and qualifications • 8+years of experience working with AI or NLP ...

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an experienced AI Engineer to design, build, test, and deploy artificial ... Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ...

AI Engineering Associate Director

Plano, TX · Remote

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an experienced AI Engineer to design, build, test, and deploy artificial ... Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ...

AI Engineering Associate Director

Plano, TX · On-site

$242K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking an experienced AI Engineer to design, build, test, and deploy artificial ... Develop reusable accelerators, code libraries, templates, prompt assets, deployment patterns, and ...

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Showing results 1-20

Prompt Engineering Ai information

See Texas salary details

$30.3K

$58.7K

$89K

How much do prompt engineering ai jobs pay per year?

As of Aug 18, 2026, the average yearly pay for prompt engineering ai in Texas is $58,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is a prompt engineer in AI?

A Prompt Engineer in AI is a specialist who designs, tests, and refines the inputs (prompts) given to large language models or generative AI systems to optimize their outputs. They work to understand how different prompt formulations influence AI responses, aiming to make the AI perform specific tasks more accurately and reliably. This role often requires strong analytical skills, creativity, and an understanding of both natural language and the capabilities of AI models. Prompt engineers collaborate with product teams, data scientists, and developers to create efficient workflows and improve user experience with AI tools.

What are some common challenges faced by prompt engineering AI professionals when collaborating with multidisciplinary teams?

Prompt Engineering AI professionals often work closely with data scientists, product managers, and software engineers. One common challenge is translating complex technical requirements from non-technical stakeholders into clear, actionable prompts for AI models. Maintaining effective communication and aligning expectations across teams is crucial, as is ensuring that AI outputs meet both technical and business objectives. Adaptability and a collaborative mindset are essential to navigate differing priorities and continuously optimize AI model performance.

What are the key skills and qualifications needed to thrive as a prompt engineer in AI, and why are they important?

To thrive as a Prompt Engineer in AI, you need a strong background in computer science, natural language processing, and experience with large language models, often supported by a relevant degree or technical training. Familiarity with AI platforms (such as OpenAI’s GPT), prompt design tools, and programming languages like Python is typically required. Creative problem-solving, attention to detail, and effective communication are crucial soft skills for optimizing prompts and collaborating with cross-functional teams. These skills ensure the development of accurate, efficient, and user-aligned AI outputs in fast-evolving environments.

What is the difference between Prompt Engineering Ai vs Data Scientist?

AspectPrompt Engineering AiData Scientist
Required CredentialsKnowledge of AI models, programming, and prompt designDegree in Data Science, Statistics, or related fields
Work EnvironmentTech companies, AI labs, startupsResearch institutions, tech firms, finance, healthcare
Industry UsageAI development, NLP applications, chatbot designData analysis, predictive modeling, data-driven decision making

Prompt Engineering Ai focuses on designing effective prompts for AI models, primarily working with language models and AI tools. Data Scientists analyze data, build models, and generate insights. While both roles require technical skills, Prompt Engineers specialize in AI prompt optimization, whereas Data Scientists work with broader data analysis and statistical methods.

How do I become a prompt engineering AI?

Prompt engineering is a skill-based role that involves designing effective prompts for AI language models. To become a prompt engineer, develop a strong understanding of natural language processing, experiment with AI tools like GPT, and improve your skills through online courses, tutorials, and practice. Familiarity with programming, data analysis, and AI concepts can also enhance your qualifications.

Is prompt engineering AI a good career?

Prompt engineering AI is a growing field focused on designing effective prompts for AI models, and it offers opportunities in industries such as technology, research, and content creation. Success in this career typically requires strong language skills, understanding of AI tools, and continuous learning to keep up with evolving models. It can be a rewarding career for those interested in AI development and human-AI interaction.

What job categories do people searching Prompt Engineering Ai jobs in Texas look for?

The top searched job categories for Prompt Engineering Ai jobs in Texas are:

What cities in Texas are hiring for Prompt Engineering Ai jobs?

Cities in Texas with the most Prompt Engineering Ai job openings:

Infographic showing various Prompt Engineering Ai job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $58,673 per year, or $28.2 per hour.

Generative AI Engineer

Droisys

Dallas, TX • On-site

Other

Posted 28 days ago


Job description

Generative AI EngineerIntroduction:

The Generative AI Engineer will be responsible for developing and implementing Generative AI solutions using various technologies such as LLMs, RAG, Prompt Engineering, AI Agents, LangChain/LangGraph, Semantic Kernel, and vector databases. The role will involve working on backend development, data engineering, API integration, database design, scalability, security, and performance optimization.

Responsibilities:
  • Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph.
  • Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.
  • Work on database design, scalability, security, and performance optimization for AI applications.
  • Create REST APIs and Microservices for backend development using Python, Node.js, and Java.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Utilize MongoDB and Azure Data Services for data storage and management.
Requirements:Required Skills:
  • Strong experience in building Generative AI solutions.
  • Proficiency in technologies like LangChain, Generative Artificial Intelligence (AI), and Prompt Engineering.
  • Knowledge of MongoDB for data storage.
  • Experience in performance tuning and database design.
  • Understanding of semantics in AI applications.
Preferred Skills:
  • Experience with React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
  • Familiarity with modern UI frameworks.
  • Expertise in Python, ETL, and Azure AI Search.
  • Backend development skills using Python, Node.js, and Java.