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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 ...

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:

AI Developer

Houston, TX · On-site

$100K - $120K/yr

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

Develop and implement LLM-based solutions (prompt engineering, RAG, LangGraph, agent workflows, tool integrations). * Ensure production readiness with CI/CD pipelines, automated testing ...

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 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 ...

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 ...

Creating effective prompt engineering strategies, evaluation frameworks, and model optimization techniques. - Collaboration: Working with cross-functional teams, including data engineers and software ...

Prompt engineering and fine-tuning * LLM APIs (e.g., OpenAI, Claude, Gemini) * Experience deploying cloud-native solutions using GCP and/or Azure. * Solid understanding of API design, microservices ...

Prompt engineering and fine-tuning * LLM APIs (e.g., OpenAI, Claude, Gemini) * Experience deploying cloud-native solutions using GCP and/or Azure. * Solid understanding of API design, microservices ...

Principal Software Engineer-Agentic AI

Houston, TX · On-site

$128.90K - $172.80K/yr

Establish best practices for prompt engineering and evaluationCreate standardized approaches for prompt design, testing, benchmarking, and continuous improvement to ensure high-quality outputs in ...

Principal Software Engineer-Agentic AI

Houston, TX

$128.90K - $172.80K/yr

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

Prompt engineering and fine-tuning * LLM APIs (e.g., OpenAI, Claude, Gemini) * Experience deploying cloud-native solutions using GCP and/or Azure. * Solid understanding of API design, microservices ...

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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 Jun 1, 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 are the most commonly searched types of Prompt Engineering jobs in Spring, TX? The most popular types of Prompt Engineering jobs in Spring, TX are:
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What cities near Spring, TX are hiring for Prompt Engineering jobs? Cities near Spring, TX with the most Prompt Engineering job openings:

Senior Prompt & Content Engineering Lead

Bay Area TeK Solutions LLC

Houston, TX • Remote

Full-time

Posted 27 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.