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Prompt Engineer Jobs in Texas (NOW HIRING)

LLM Engineer

Houston, TX ยท On-site

$120K - $130K/yr

This role focuses on using artificial intelligence tools, prompt engineering techniques, and structured workflows to analyze large volumes of unstructured data and produce accurate, actionable ...

The role involves developing AI workflows, prompt engineering, and maintaining AI models across various environments. Responsibilities : โ€ข AI workflow development โ€ข Prompt engineering โ€ข ...

AI/ML Engineer - Remote

Houston, TX ยท Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

AI/ML Engineer - Remote

Dallas, TX ยท Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

AI/ML Engineer - Remote

Austin, TX ยท Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

NET Core. - Develop REST APIs, microservices, and cloud-based solutions on Azure. - Implement prompt engineering, AI agents, embeddings, and vector search solutions. - Collaborate with engineering ...

Prompt Engineering, AI Workflow Design, LLM Evaluation, Agent Monitoring, GenAI Optimization. Key Responsibilities: * Develop and orchestrate AI agent workflows using LangGraph, LangChain, and multi ...

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 ...

Agentic AI Engineer

Dallas, TX ยท On-site

$150 - $200/hr

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

SRE/DevOps Engineer - GenAI

Austin, TX ยท On-site

$56.50 - $75/hr

Solid understanding of prompt engineering, model inference, embeddings, and vector stores * Experience integrating GenAI solutions with cloud, Kubernetes, and DevOps toolchains * Ability to support ...

Prompt Engineering & LLM Orchestration * LLM Evaluation Frameworks & Responsible AI Practices * REST API Development & Automated API Testing * Java/Kotlin Development * CI/CD using Maven & Jenkins

Senior .NET AI Engineer

Coppell, TX ยท On-site

$113K - $149K/yr

The ideal candidate will be passionate about leveraging Prompt Engineering , Context Engineering, RAG, Vectorization & Indexing , and modern AI techniques to drive innovation and efficiency across ...

AI Engineer

Irving, TX ยท On-site

... prompt engineering solutions, tool/function calling, and multi-step agent workflows. - Deploy and operate AI applications in cloud environments. - Implement testing, monitoring, logging, security ...

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Showing results 21-40

Prompt Engineer information

See Texas salary details

$9

$43

$81

How much do prompt engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for prompt engineer in Texas is $43.87, according to ZipRecruiter salary data. Most workers in this role earn between $33.37 and $56.68 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are the most commonly searched types of Prompt Engineer jobs in Texas?

The most popular types of Prompt Engineer jobs in Texas are:

What cities in Texas are hiring for Prompt Engineer jobs?

Cities in Texas with the most Prompt Engineer job openings:

Infographic showing various Prompt Engineer job openings in Texas as of August 2026, with employment types broken down into 7% Internship, 67% Full Time, 7% Part Time, and 19% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $91,246 per year, or $43.9 per hour.

Sr GenAI Engineer (In-person Interview is required in Dallas, TX)

Saransh Inc

Dallas, TX โ€ข On-site

$103K - $142K/yr

Contractor

Re-posted 21 days ago


Job description

Role: Sr GenAI Engineer
Location: Dallas, TX (3 days a week onsite is required) - Locals would be highly preferred as In-Person Interview is mandatory in Dallas, TX
Job Type: Contract
 

Required Skills:
GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK (good to have).
Should we very well versed in deployment process too.
Job Summary:
  • We are looking for a highly experienced and technically elite Senior LangGraph Developer to architect and implement cutting-edge agentic workflows using LangGraph.
  • This role demands deep expertise in building stateful, multi-agent systems that leverage LLMs for complex decision-making, orchestration, and automation.
  • You will be responsible for designing resilient, scalable LangGraph architectures that power intelligent applications across domains.

Key Responsibilities:
  • Design and implement advanced LangGraph workflows with complex node logic, branching, and memory management.
  • Lead the development of agentic systems that interact, reason, and adapt dynamically.
  • Optimize performance and scalability of LangGraph graphs in production environments.
  • Integrate LangGraph with external APIs, databases, and LLMs to create seamless, intelligent pipelines.
  • Mentor junior developers and establish best practices for LangGraph development.
  • Collaborate with AI researchers and product teams to translate abstract ideas into robust LangGraph implementations.
Required Skills & Experience:
  • 8+ years in software engineering, with at least 3-4 years in LangGraph or agentic frameworks.
  • Expert-level proficiency in Python, asynchronous programming, and graph-based computation.
  • Deep understanding of LLM orchestration, memory management, and stateful agent design.
  • Experience with LangChain, OpenAI, Anthropic, or similar LLM platforms.
  • Strong grasp of workflow debugging, graph visualization, and LangGraph Studio.
  • Proven ability to build production-grade agentic systems with high reliability and fault tolerance.