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Prompt Engineer Jobs in Texas (NOW HIRING)

LLM Engineer

Houston, TX · 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 : • AI workflow development • Prompt engineering • ...

Ability to utilize Large Language Models, prompt engineer, and use agentic coding models appropriately for engineering applications preferred * Experience performing hydraulic model calibration ...

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 ...

Agentic AI Engineer

Dallas, TX · 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 ...

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

SRE/DevOps Engineer - GenAI

Austin, TX · 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 ...

Own the full lifecycle: data preparation, model selection, fine-tuning/prompt engineering, evaluation, deployment, and monitoring * Build evaluation frameworks and safety guardrails for LLM-based ...

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

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

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

Hands-on experience with LLMs, RAG, prompt engineering, and AI frameworks. * Expertise in Azure OpenAI, Azure ML, Azure AI Search, and Azure cloud services. * Experience with Docker, Kubernetes (AKS ...

Senior AI Engineer

Houston, TX · On-site

$99K - $137K/yr

Evaluate and implement GenAI, LLMs, and prompt engineering techniques * Prototype and experiment with new AI-driven solutions Skills Must have * Programming: Python (preferred), Java, or Scala * ML ...

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

... via prompt engineering and fine-tuning • MLOps • Cloud platforms (AWS/Azure/GCP) • Foundational mathematics • High proficiency in Python is mandatory • R, C++, or Java • Expertise in ...

Work with GenAI & LLMs - contribute to LLM-based features including RAG systems, prompt engineering, and agentic workflows; experiment with different approaches and document learnings * Collaborate ...

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 Aug 15, 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 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.

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.

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.

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 exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance.

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 75% Full Time, 17% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $91,246 per year, or $43.9 per hour.

LLM Engineer

Diablo Convoy

Houston, TX • On-site

$120K - $130K/yr

Full-time

Re-posted 9 days ago


Job description

Overview: 
We are seeking a detail-oriented  LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. 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 outputs.
This position is ideal for candidates early in their careers with hands-on experience using AI tools and a strong interest in automation, analytics, and AI-assisted reporting.

Key Responsibilities: 
  • Use AI tools and large language models (LLMs) to summarize, classify, and analyze unstructured documents
  • Apply prompt engineering techniques to generate consistent, repeatable AI outputs
  • Assist in building and maintaining AI automation workflows for reporting and analysis
  • Review, validate, and refine AI-generated content to ensure accuracy and data integrity
  • Support creation of AI-generated visual content, diagrams, and concept imagery
  • Assist with AI-supported floor plan, layout, or spatial analysis projects
  • Collaborate with cross-functional teams to support AI-powered reporting needs
  • Document workflows, prompts, and processes for repeatable use and continuous improvement

Required Qualifications (Must-Have): 
  • Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools
  • Hands-on experience using AI for document analysis, text summarization, and data extraction
  • Basic understanding of prompt engineering and structured prompting techniques
  • Strong written communication, analytical skills, and attention to detail
  • Ability to review AI outputs for quality assurance and make necessary adjustments
  • Strong organizational skills and ability to follow defined workflows
  • Technical/MLTools: Python, Hugging Face, Langchain, RAG, AWS
  • PowerPoint presentation skills