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Prompt Engineering Jobs in Texas (NOW HIRING)

YO AI Labs

AI/ML Engineer - Remote

Dallas, TX · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

YO AI Labs

AI/ML Engineer - Remote

Austin, TX · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Syntricate Technologies

Gen AI Developer

Austin, TX · On-site

Responsibilities : • Experience with GenAI • Experience with Lang Chain • Experience with Fine tuning • Experience with nstruct • Experience with Prompt engineering Qualifications

NTT DATA, Inc.

AI Engineering Associate Director

Plano, TX · On-site

$151K - $202K/yr

Develop solutions using modern AI engineering patterns, including retrieval‑augmented generation, embeddings, vector search, prompt engineering, model orchestration, agentic workflows, natural ...

Echo IT Solutions

Sr Software Engineer AI-ML

Irving, TX · On-site

$113K - $149K/yr

... via prompt engineering and fine-tuning • MLOps • Cloud platforms (AWS/Azure/GCP) • Foundational mathematics • High proficiency in Python is mandatory • R, C++, or Java • Expertise in ...

Scadea

.Net Engineer

Houston, TX · On-site

NET Core. - Develop REST APIs, microservices, and cloud-based solutions on Azure. - Implement prompt engineering, AI agents, embeddings, and vector search solutions. - Collaborate with engineering ...

TMS

Senior .NET AI Engineer

Coppell, TX · On-site

$113K - $149K/yr

The ideal candidate will be passionate about leveraging Prompt Engineering , Context Engineering, RAG, Vectorization & Indexing , and modern AI techniques to drive innovation and efficiency across ...

Programmers.io

AI Lead (Generative AI)

Irving, TX · On-site

$134K - $165K/yr

Contribute to prompt engineering and development of AI-powered workflows Assist with the deployment, monitoring, and maintenance of AI models in production environments. Collaborate with data ...

New

Apptad, Inc.

.NET AI Engineer

Austin, TX · On-site

... prompt engineering techniques and AI model optimization strategies. • Work with databases including SQL Server, Cosmos DB, PostgreSQL, and MongoDB. • Deploy and manage applications on Microsoft ...

Select Minds LLC

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

This role requires a strong software engineering background with practical experience in AI orchestration, machine learning integration, prompt engineering, and LLMOps. Responsibilities * Design ...

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Showing results 21-40

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Texas

Prompt Engineering information

See Texas salary details

$30.3K

$58.7K

$89K

How much do prompt engineering jobs pay per year?

As of Sep 14, 2026, the average yearly pay for prompt engineering in Texas is $58,673.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,800.00 and $67,100.00 per year, depending on experience, location, and employer.

What is prompt engineering?

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 skills and qualifications are needed for prompt engineering?

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.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are the most commonly searched types of Prompt Engineering jobs in Texas?

The most popular types of Prompt Engineering jobs in Texas are:

What are popular job titles related to Prompt Engineering jobs in Texas?

For Prompt Engineering jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Texas look for?

The top searched job categories for Prompt Engineering jobs in Texas are:

What cities in Texas are hiring for Prompt Engineering jobs?

Cities in Texas with the most Prompt Engineering job openings:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Texas as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 7% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $58,673 per year, or $28.2 per hour.

AI/ML Engineer - Remote

Dallas, TX • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$200 - $350/hr

Full-time

Posted 18 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.