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Ai Prompt Engineer Jobs in Spring, TX (NOW HIRING)

Diablo Convoy

LLM Engineer

Houston, TX · On-site

$120K - $130K/yr

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 ...

Diablo Convoy

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/yr

This role focuses on using artificial intelligence tools, prompt engineering techniques, and ... Use AI tools and large language models (LLMs) to summarize, classify, and analyze unstructured ...

myDNA, Inc.

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

Defines and enforces LLMOps / MLOps practices: prompt and model versioning, evaluation harnesses ... The Senior AI Developer is expected to understand how regulatory obligations apply to AI/ML systems ...

Fervo Energy Company

Agentic AI Engineer

Houston, TX · On-site

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn ... Build feedback loops that capture user input and convert it into eval cases and prompt/system ...

Fervo Energy

Agentic AI Engineer

Houston, TX

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn ... Build feedback loops that capture user input and convert it into eval cases and prompt/system ...

Deloitte

Google AI Lead Architect

Houston, TX

$52.75 - $72.25/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

Truity Credit Union

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

... prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling. • Monitor AI/data automation scripts to ensure accuracy, transparency, and ...

INSPYR Solutions

Senior AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Senior AI Agentic Engineer Location: Spring, TX 77389 (hybrid: 3 days onsite / 2 days remote ... Model Adaptation & Prompt Engineering * Evaluate and select frontier and open-source LLMs (e.g ...

Kodiak Gas Services

AI Developer

The Woodlands, TX · On-site

Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented ... Integrate AI models into subsystems supporting transactions, knowledge management, and service ...

Truity Credit Union

Data & AI Engineer

Houston, TX

$110K - $133K/yr

Leverage prompt engineering and AI orchestration frameworks (e.g., LangChain, semantic routers) to optimize task handling. * Monitor AI/data automation scripts to ensure accuracy, transparency, and ...

Quest Global

Agentic AI Engineer

Conroe, TX

$100K - $120K/yr

... APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g ... AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g ... AI Foundry or comparable platforms for agent development, deployment, evaluation, and safety ...

Quest Global

Agentic AI Engineer

Conroe, TX

$100K - $120K/yr

Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ... Experience with Azure AI Foundry or comparable platforms for agent development, deployment ...

NATIONMIND LLC

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Strong understanding of prompt engineering, structured outputs, guardrails, function calling, and AI safety controls. Experience integrating enterprise collaboration and workflow platforms including ...

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Ai Prompt Engineer information

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$47

$68

How much do ai prompt engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for ai prompt engineer in Spring, TX is $47.73, according to ZipRecruiter salary data. Most workers in this role earn between $38.51 and $55.38 per hour, depending on experience, location, and employer.

What is the job of an AI prompt engineer?

An AI prompt engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like GPT to ensure accurate and relevant outputs, often requiring skills in programming, linguistics, and AI concepts.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

What is an AI Prompt Engineer job?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools, and job growth is driven by expanding AI applications across industries.

What are the typical daily tasks of an AI Prompt Engineer?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive in the Ai Prompt Engineer position, and why are they important?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

What are popular job titles related to Ai Prompt Engineer jobs in Spring, TX? For Ai Prompt Engineer jobs in Spring, TX, the most frequently searched job titles are:
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What cities near Spring, TX are hiring for Ai Prompt Engineer jobs? Cities near Spring, TX with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Spring, TX as of July 2026, with employment types broken down into 83% Full Time, 9% Part Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $99,269 per year, or $47.7 per hour.
LLM Engineer

LLM Engineer

Diablo Convoy

Houston, TX • On-site

$120K - $130K/yr

Full-time

Re-posted 6 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