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

Sr AI Engineer

Houston, TX · On-site

$96K - $132K/yr

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

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 ...

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

AI Engineer Developer Location: Houston TX or US Remote Duration: 6-12 months Skills: AI and ... Experience with prompt engineering, prompt versioning, structured outputs, function calling, JSON ...

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:

Senior Software Engineer

Houston, TX · On-site

$140K - $170K/yr

Prompt Engineering * Agentic AI systems * Writing and maintaining Markdown documentation * Hands-on experience with AWS Cloud services . * Familiarity with: * AWS Athena * AWS X-Ray * CI/CD pipelines

Expert AI Engineer

Houston, TX · On-site

$147K - $210K/yr

AI Model Development - Design, build, and train machine learning and deep learning models ... prompt engineering, model optimization and inference efficiency. * Strong programming skills in ...

Senior Software Engineer

Houston, TX · On-site

$140K - $170K/yr

Prompt Engineering * Agentic AI systems * Writing and maintaining Markdown documentation * Hands-on experience with AWS Cloud services . * Familiarity with: * AWS Athena * AWS X-Ray * CI/CD pipelines

Principal Software Engineer-Agentic AI

Houston, TX · On-site

$128K - $172K/yr

Experience with prompt engineering, evaluation, and guardrails for production-grade AI systems. Understanding of AI system architecture, including latency, cost optimization, observability, and ...

Principal Software Engineer-Agentic AI

Houston, TX · On-site

$128K - $172K/yr

Experience with prompt engineering, evaluation, and guardrails for production-grade AI systems. Understanding of AI system architecture, including latency, cost optimization, observability, and ...

Strong prompt engineering skills and the ability to teach them in plain language. * Experience with the Power Platform (Power Automate, Power Apps, Dataverse) and basic familiarity with Azure AI ...

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Ai Prompt Engineer information

See Spring, TX salary details

$22

$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:
What job categories do people searching Ai Prompt Engineer jobs in Spring, TX look for? The top searched job categories for Ai Prompt Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Ai Prompt Engineer jobs? Cities near Spring, TX with the most Ai Prompt Engineer job openings:
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.

AI Business Analyst with Prompt Engineering

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Re-posted yesterday


Job description

About NationMind LLC:
NationMind LLC is a technology consulting firm focused on software development and QA testing services. We help clients build reliable, scalable applications with a strong emphasis on automation, performance, and quality. Our team works across industries, delivering solutions that drive innovation and operational efficiency. We are currently hiring skilled professionals for AI Business Analyst with Prompt Engineering to join our growing team.
Role: AI Business Analyst with Prompt Engineering
Location: Houston, TX or US Remote
Duration: 6-12 Months
Job Description
We are seeking an AI Business Analyst with Prompt Engineering experience to support AI-driven business initiatives and enterprise AI operations.
Required Qualifications
  • Strong business analysis experience in AI, IT operations, automation, software delivery, digital transformation, enterprise support, platform enablement, or SaaS operations.
  • Good understanding of GenAI tools and platforms such as ChatGPT Enterprise, Claude Enterprise, OpenAI API, enterprise AI workspaces, and model orchestration concepts.
  • Experience with Slack-based support, Zendesk, Jira, Confluence, ServiceNow, or similar intake, workflow, and ticketing platforms.
  • Understanding of AI agents, tool calling, prompt behavior, human-in-the-loop workflows, agent lifecycle management, and runtime orchestration concepts.
  • Understanding of license management, user provisioning, Okta SCIM, access approvals, enterprise identity workflows, and access governance concepts.
  • Ability to convert ambiguous business and AI operations needs into structured requirements, workflows, user stories, acceptance criteria, test cases, and operating procedures.
  • Strong process mapping skills for workflows involving users, systems, approvals, exceptions, escalations, and operational support flows.
  • Ability to work with technical teams on APIs, integrations, MCP tools, data sources, runtime behavior, and model configuration requirements.
  • Experience working in Agile delivery teams with sprint planning, backlog grooming, demos, velocity tracking, and iterative delivery methodologies.
  • Ability to write clear process documents, SOPs, runbooks, user guides, support playbooks, and structured operational documentation.
  • Strong stakeholder management and communication skills across business users, product owners, engineering, security, governance, platform, and support teams.
  • Working knowledge of AI governance concepts including data privacy, access control, retention, redaction, model usage policies, responsible AI, and enterprise governance requirements.
  • Comfortable creating structured documentation for agent builds, testing, deployment, operational support, lifecycle management, and release processes.
Key Responsibilities
  • Gather, analyze, and document business requirements for AI and enterprise operations initiatives.
  • Support AI platform operations, automation workflows, and digital transformation programs.
  • Collaborate with cross-functional teams including business users, product owners, engineering, security, governance, and support teams.
  • Define and document workflows, user stories, acceptance criteria, test cases, SOPs, runbooks, and operational procedures.
  • Assist in AI agent lifecycle management, prompt engineering activities, workflow orchestration, testing, deployment, and operational support.
  • Support integrations involving APIs, MCP tools, enterprise systems, and AI platforms.
  • Ensure adherence to AI governance, data privacy, access control, and enterprise compliance requirements.
  • Participate in Agile ceremonies including sprint planning, backlog grooming, demos, and delivery tracking.

This is a remote position.