1

Prompt Engineer Jobs in Texas (NOW HIRING)

Implement prompt engineering, RAG pipelines, model tuning, and MLOps best practices. * Build and maintain end-to-end ML pipelines, including deployment, monitoring, and automated retraining. * Ensure ...

Senior AI Model Fine-Tuning Engineer

Austin, TX · On-site

$103K - $142K/yr

As a Senior AI Model Fine-Tuning Engineer, you will adjust the behavior and functional abilities of AI models to enhance their adaptability and intelligence, utilizing advanced techniques like prompt ...

The ideal candidate will have hands-on experience with agentic AI systems, large language models (LLMs), prompt engineering, and production-ready AI applications within a security-conscious and ...

The ideal candidate will have hands-on experience with agentic AI systems, large language models (LLMs), prompt engineering, and production-ready AI applications within a security-conscious and ...

Gen AI Engineer

Plano, TX · On-site

$40 - $50/hr

GenAI tools and frameworks (e.g., LLMs, vector databases, prompt orchestration, LangChain, Bedrock ... Implement prompt engineering, instruction tuning, and reinforcement learning from human feedback ...

Senior UI Engineer

Plano, TX · On-site

$125K - $155K/yr

Client is looking for a hands-on UI resource with experience in React or React Native, along with AI skills such as Python, prompt engineering, and agent development. So ideally, we need a person ...

Strong understanding of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, vector databases, and AI workflows. * Experience with cloud platforms such as AWS, Azure, or Google Cloud ...

Work with Generative AI, LLMs, prompt engineering, or RAG-based applications. * Deploy and monitor ML models in cloud or production environments. * Collaborate with software engineers and data teams ...

AI/ML Engineer

Plano, TX · On-site

$120 - $160/hr

Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

... prompt engineering techniques. • Implement few-shot prompting strategies for improved LLM ... interactions. • Develop semantic agents and interfaces for seamless agent collaboration. • ...

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

Prompt Engineering * Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

AI Lead Engineer

Dallas, TX · On-site +1

$101K - $133K/yr

AI Lead Engineer Dallas, TX (REMOTE) 15+ Years Must-Have Skills Artificial Intelligence (AI) & Machine Learning (ML) Deep Learning Generative AI (GenAI) Large Language Models (LLMs) Prompt ...

Showing results 41-60

Prompt Engineer information

See Texas salary details

$9

$43

$81

How much do prompt engineer jobs pay per hour?

As of Aug 29, 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 is a prompt engineer?

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.

What does a prompt engineer do?

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 skills and qualifications are needed to be a prompt engineer?

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.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

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 August 2026, with employment types broken down into 75% Full Time, 17% Part Time, and 8% Contract. Highlights an 92% In-person, and 8% Hybrid job distribution, with an average salary of $91,246 per year, or $43.9 per hour.

AI.ML Engineer (Google)

Addison Group

San Antonio, TX • On-site

$125K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 12 days ago


Job description

Job Title: AI.ML Engineer (Google)

Compensation: $125000 / Year

Benefits: Medical insurance, Vision insurance, Dental insurance, 401(k), Disability insurance

The AI/ML Solutions Engineer is responsible for designing, building, and supporting scalable AI and machine learning solutions that improve business operations and drive innovation across the organization. This hands-on role partners closely with finance, operations, and business leaders to identify opportunities for automation and develop production-ready AI applications, with a strong focus on Generative AI and LLM-powered solutions within healthcare, insurance, and regulated environments.

Key Responsibilities

  • Design and deploy AI/ML solutions using Google Cloud Platform tools such as Vertex AI, Gemini APIs, BigQuery, and Dataflow.
  • Develop Generative AI applications including document processing, knowledge retrieval, claims summarization, and chatbot solutions.
  • Implement prompt engineering, RAG pipelines, model tuning, and MLOps best practices.
  • Build and maintain end-to-end ML pipelines, including deployment, monitoring, and automated retraining.
  • Ensure solutions meet security, compliance, and governance standards including SOC 1, SOC 2, HIPAA, and CMMC-aligned controls.
  • Partner with business stakeholders to translate operational challenges into scalable AI solutions.
  • Communicate technical concepts to both technical and non-technical audiences and support responsible AI adoption.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 3–5 years of experience in AI/ML engineering or data science.
  • Strong experience with GCP services, Python, and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Experience with Generative AI, LLMs, prompt engineering, and RAG architectures.
  • Knowledge of cloud security, IAM, encryption, and secure development practices.
  • Preferred experience in healthcare, insurance, or other regulated industries, along with familiarity with HIPAA, SOC compliance, and AI governance.

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.