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Prompt Engineer Jobs in Texas (NOW HIRING)

This includes RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development. The role focuses on building AWS-based Gen AI solutions. Key Responsibilities ...

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

$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 ...

Ability to utilize Large Language Models, prompt engineer, and use agentic coding models appropriately for engineering applications preferred * Experience performing hydraulic model calibration ...

The role involves prompt engineering, code review, testing, and continuous learning in Generative AI fields. Responsibilities : • AI workflow development • Prompt engineering • Deployment and ...

Sr Software Engineer AI-ML

Irving, TX

$117K - $155K/yr

Key skills include mastering Generative AI, Large Language Models (LLMs) via prompt engineering and fine-tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics. Core ...

Sr Software Engineer AI-ML

Irving, TX

$117K - $155K/yr

Key skills include mastering Generative AI, Large Language Models (LLMs) via prompt engineering and fine-tuning, alongside MLOps, cloud platforms (AWS/Azure/GCP), and foundational mathematics. Core ...

In this role, you will be responsible for fine-tuning foundation models, prompt engineering, and optimizing algorithms for our generative AI platform. Your expertise will contribute to the ...

Additional responsibilities include developing production-ready agent workflows, applying prompt engineering best practices, constructing AI-ready data pipelines from ERP, logistics, and production ...

SRE/DevOps Engineer - GenAI

Austin, TX · On-site

$56.50 - $75/hr

... prompt engineering, model inference, embeddings, and vector stores • Experience integrating GenAI solutions with cloud, Kubernetes, and DevOps toolchains • Ability to support and operate GenAI ...

iOS Engineer

Irving, TX · Hybrid

$80K - $100K/yr

Knowledge of LLM, Prompt Engineering, RAG Architecture, Agentic AI. * Basic knowledge of Hybrid prompting technique * Knowledge in Generative AI tools like LangChain, Hugging Face, Llama Index etc.

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How much do prompt engineer jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for prompt engineer in Texas is $43.87, according to ZipRecruiter salary data. Most workers in this role earn between $33.37 and $56.68 per hour, depending on experience, location, and employer.

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

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.

What does a typical day look like for a Prompt Engineer?

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 engineers make $500,000?

Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.

What is a Prompt Engineer job?

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.

Is prompt engineer still a thing?

Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with AI tools. The role is expected to grow as AI adoption expands across industries.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.

Is prompt engineer salary?

Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
What are the most commonly searched types of Prompt Engineer jobs in Texas? The most popular types of Prompt Engineer jobs in Texas are:
What cities in Texas are hiring for Prompt Engineer jobs? Cities in Texas with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Texas as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $91,246 per year, or $43.9 per hour.
ML Engineer

Other

Posted 3 days ago


Job description

JOB SUMMARY
The Workplace Investing AI Delivery Engineering Chapter team is looking for a Machine Learning / Gen AI engineer to design, implement, and improve technical solutions for Gen AI applications. This includes RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development. The role focuses on building AWS-based Gen AI solutions.
Key Responsibilities
• Design, implement, and improve technical solutions for Gen AI applications.
• Develop solutions involving RAG, Prompt Engineering, Fine Tuning, ML model deployment, data pipelines, hosting, and API development.
• Build AWS-based Gen AI solutions.
• Design and develop machine learning and deep learning systems using appropriate ML algorithms and frameworks.
• Build feature engineering pipelines.
• Deploy AI models and optimize model inference.
• Develop Python-based APIs.
• Work with data to create models and perform statistical analysis.
• Train and retrain models to optimize performance.
• Run machine learning tests and experiments.
• Deploy models in Sagemaker.
• Set up EC2/EKS compute.
• Perform deep data analysis on multiple database platforms.
Required Qualifications
• 5+ years of hands-on development experience in Machine Learning Systems.
• Experience working on Gen AI solutions with Large Language Models, LangGraph, LangChain, LlamaIndex, Prompt Engineering, and Fine tuning.
• Strong programming skills in Python and Java.
• Solid experience developing Python-based APIs (FastAPI / Flask).
• Experience as a Machine Learning engineer building feature engineering pipelines, deploying AI models, and optimizing model inference.
• Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT).
• Proven work experience using AWS services for model deployment (Sagemaker) and cloud-based data hosting (Snowflake or RDS).
• Superior SQL skills.
• Bachelor's Degree or equivalent experience.
Preferred Qualifications
• Experience with search engine platforms like Apache SOLR, Elastic Search, or OpenSearch.
Certifications
• None specified.


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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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