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Prompt Engineer Jobs in Conroe, TX (NOW HIRING)

Scadea

.Net Engineer

Houston, TX · On-site

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 ...

Amsys Innovative Solutions

AI Engineer

Houston, TX · On-site

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 ...

Addison Group

AI Developer

The Woodlands, TX · On-site

$100K - $120K/yr

Agentic AI: Experience building and orchestrating single‑agent and multi‑agent systems, including prompt engineering, RAG pipelines, and agent decision logic. * Integration Development:

YO AI Labs

Word Expert - Remote

Houston, TX · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

YO AI Labs

Business Document Expert - Remote

Houston, TX · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

New

YO AI Labs

Excel Expert - Remote

Houston, TX · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

New

YO AI Labs

PowerPoint Expert - Remote

Houston, TX · Remote

$30 - $50/hr

Use prompt engineering and AI tools to test and improve model performance. * Collaborate with project teams and maintain high-quality documentation. Required Qualifications * 3+ years of professional ...

New

NAVA Software Solutions

Sr AI Agentic Engineer

Spring, TX · On-site

$93K - $127K/yr

Model Adaptation & Prompt Engineering * Evaluate and select frontier and open-source LLMs (e.g., GPT-4o, Claude, Llama, Mistral, Gemini) and apply fine-tuning strategies - including instruction ...

Diablo Convoy

AI Automation Analyst

Spring, TX · On-site

$130K - $150K/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 ...

Nava Software Solutions

Senior AI Agentic Engineer

Spring, TX · On-site

$88K - $121K/yr

Model Adaptation & Prompt Engineering * Evaluate and select frontier and open-source LLMs (e.g., GPT-4o, Claude, Llama, Mistral, Gemini) and apply fine-tuning strategies - including instruction ...

New

Stanfordclimateventures

Agentic AI Engineer

Houston, TX · On-site

$103.15 - $158.59/hr

The Agentic AI Engineer owns the end-to-end delivery of agentic AI use cases -- from problem ... Build feedback loops that capture user input and convert it into eval cases and prompt/system ...

Corebridgefinancial

AI Engineer

Houston, TX

$122K - $148K/yr

Design / optimize prompt instructions, personas, tool descriptions, and reasoning scaffolds that ... Strong programming skills in Python * Solid understanding of machine learning fundamentals and ...

Quest Global

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent orchestration frameworks (e.g., LangGraph or equivalent). Experience in deploying and operating LLM ...

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Prompt Engineer information

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How much do prompt engineer jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for prompt engineer in Conroe, TX is $40.31, according to ZipRecruiter salary data. Most workers in this role earn between $30.67 and $52.07 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 cities near Conroe, TX are hiring for Prompt Engineer jobs?

Cities near Conroe, TX with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Conroe, TX as of August 2026, with employment types broken down into 6% Internship, 75% Full Time, 12% Part Time, and 7% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $83,849 per year, or $40.3 per hour.

Senior Prompt & Content Engineering Lead

Houston, TX • Remote

Bay Area TeK Solutions LLC
See more jobs at Bay Area TeK Solutions LLCexternal

Full-time

Re-posted 23 days ago

Job description

Design, refine, and optimize system prompts, agent roles, and persona-driven prompt libraries.

· Build enterprise prompt & knowledge playbooks for reuse across consulting/workflows.

· Work with SMEs and marketing to create structured knowledge content.

· Implement Content Operations Pipelines for structured taxonomies and prompt evaluation.

· Manage AI-assisted content creation for whitepapers, websites, and RFP proposals

8+ years of experience in content strategy, marketing operations, or knowledge management, with at least 2–3 years in LLM / prompt engineering or AI content systems.

· • Strong understanding of LLM frameworks (RA, or similar) and retrieval-augmented generation (RAG).

· • Expertise in designing structured prompt frameworks, few-shot prompting, and prompt performance tuning.

· • Proficiency with content pipeline tools (Markdown, CMS, Miro, Notion, Airtable, or similar).

· • Experience building and managing enterprise knowledge systems or AI knowledge assistants.