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Prompt Engineering Jobs in Spring, TX (NOW HIRING)

Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented Generation (RAG) concepts. * Proficiency in building microservices and integrating them into complex ...

Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented Generation (RAG) concepts. * Proficiency in building microservices and integrating them into complex ...

Agentic Delivery Senior Engineer

Houston, TX · On-site

$99.80K - $137K/yr

Coach junior practitioners in prompt engineering, engineering quality, delivery methods, and technical review practices * Identify and implement process improvements that increase delivery speed ...

AI Engineer, Principal

Houston, TX · Remote

$147.20K - $210.30K/yr

Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. * Strong ...

AI Engineer, Principal

Houston, TX · Remote

$147.20K - $210.30K/yr

Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. * Strong ...

ChatGPT Tutor

Houston, TX · Remote

$40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Salesforce AI Integration Architect

Houston, TX · On-site +1

$66 - $81.75/hr

... prompt engineering, context management, token conservation, and LLM orchestration; - Develop and enhance integrations using Salesforce Flows, Invocable Apex methods, APIs, connectors, and custom ...

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Prompt Engineering information

See Spring, TX salary details

$28.9K

$56K

$85K

How much do prompt engineering jobs pay per year?

As of Jun 3, 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:
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:
AI Developer

AI Developer

Kodiak Gas Services

The Woodlands, TX • On-site

Full-time

Posted 11 hours ago


Kodiak Gas Services rating

7.2

Company rating: 7.2 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

109th of 217 rated repair and maintenance companies


Job description

JOIN THE PEOPLE POWERING KODIAK
Kodiak understands that our most valuable resource is our employees, and in order to provide industry-leading service and runtime, you must attract and retain premier talent. To accomplish this, Kodiak focuses on providing internal professional development and training, as well as the best benefits package in the industry.
Essential Duties & Responsibilities
Technical Skills:
  • Hands-on experience with agentic AI development and orchestration.
  • Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented Generation (RAG) concepts.
  • Proficiency in building microservices and integrating them into complex systems.

Key Responsibilities:
  • Develop and deploy prompt-based single-agent systems for targeted workflows.
  • Integrate AI models into subsystems supporting transactions, knowledge management, and service operations.
  • Design and implement multi-agent orchestration for advanced RAG pipelines.
  • Build and maintain API microservices to expose AI capabilities (e.g., entity extraction).
  • Collaborate on dataset creation for model fine-tuning and continuous improvement.
  • Partner with domain experts to enhance model accuracy, mitigate hallucinations, and ensure compliance.

Education & Certifications
  • Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field (or equivalent experience).
  • Certifications in AI/ML, Cloud Platforms, or Data Engineering are a plus.

Work Experience
  • 3+ years of experience in AI/ML development, microservices architecture, or enterprise system integration.
  • Prior experience with LLM-based solutions and agent frameworks preferred.

Kodiak Gas Services is an Equal Employment Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status.