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Prompt Engineering Jobs in Spring, TX (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 ...

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 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 ...

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 ...

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 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 ...

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 ...

AI Engineer Developer

Houston, TX · Remote

$40 - $45/hr

... prompt engineering, prompt versioning, structured outputs, function calling, JSON schemas, and agent guardrails. · Understanding of identity and access management concepts such as Okta, SCIM, SSO ...

Train business teams on Microsoft Power Automate, Databricks, AI tools, and prompt engineering . * Identify, design, and implement AI and automation solutions to improve business processes.

Senior AI Developer

Houston, TX · On-site

$52 - $68.75/hr

Participate in peer code reviews, mentor junior team members, establish shared engineering standards, and drive continuous improvement in an iterative Agile/Scrum environment. Position Requirements ...

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 ...

The AI Business Lead will be responsible for training FP&A teams on tools such as Microsoft Power Automate, Databricks, AI-enabled workflow capabilities, prompt engineering, and related automation ...

The BI/AI lead will lead development and cross train the teams on Microsoft Power Automate, Databricks, AI-enabled workflow capabilities, prompt engineering, and related automation platforms. This ...

Define and enforce prompt engineering standards and LLM integration patterns across internal tools * Partner with Data Engineering to design data pipelines that feed AI/ML use cases from the Unity ...

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Showing results 1-20

Prompt Engineering information

See Spring, TX salary details

$28.9K

$56K

$85K

How much do prompt engineering jobs pay per year?

As of Jul 31, 2026, the average yearly pay for prompt engineering in Spring, TX is $56,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $64,100.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

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

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

What job categories do people searching Prompt Engineering jobs in Spring, TX look for? The top searched job categories for Prompt Engineering jobs in Spring, TX are:
What cities near Spring, TX are hiring for Prompt Engineering jobs? Cities near Spring, TX with the most Prompt Engineering job openings:
Infographic showing various Prompt Engineering job openings in Spring, TX as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $56,043 per year, or $26.9 per hour.

AI Business Analyst with Prompt Engineering

NATIONMIND LLC

Houston, TX • Remote

$40 - $45/hr

Full-time

Re-posted 18 days ago


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.