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Prompt Engineering Jobs in Plano, TX (NOW HIRING)

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 ...

Photon

AgenticAI Workflow Engineer | Onsite

Dallas, TX · On-site

Prompt Engineering, AI Workflow Design, LLM Evaluation, Agent Monitoring, GenAI Optimization. Key Responsibilities: * Develop and orchestrate AI agent workflows using LangGraph, LangChain, and multi ...

Cliff Services Inc

Python / GenAI Developer

Dallas, TX · On-site

$50 - $68.75/hr

Data Ingestion: Assist in building data pipelines, prompt engineering, and parsing banking documents. * Testing: Write unit tests to validate the accuracy and safety of AI model outputs. Required ...

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 ...

Photon

AgenticAI Workflow Engineer | Onsite

Dallas, TX · On-site

Prompt Engineering, AI Workflow Design, LLM Evaluation, Agent Monitoring, GenAI Optimization. Key Responsibilities: * Develop and orchestrate AI agent workflows using LangGraph, LangChain, and multi ...

Artech L.L.C.

Python Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Build solutions using LLMs, RAG, prompt engineering, and AI agents . * Integrate models from platforms such as OpenAI, Azure OpenAI, AWS Bedrock, or Hugging Face . * Develop and optimize REST APIs ...

New

YO AI Labs

Mental Health Expert - 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 ...

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Showing results 21-40

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Plano, TX

Prompt Engineering information

See Plano, TX salary details

$31.1K

$60.3K

$91.4K

How much do prompt engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for prompt engineering in Plano, TX is $60,275.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $68,900.00 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 popular job titles related to Prompt Engineering jobs in Plano, TX?

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

What job categories do people searching Prompt Engineering jobs in Plano, TX look for?

The top searched job categories for Prompt Engineering jobs in Plano, TX are:

What cities near Plano, TX are hiring for Prompt Engineering jobs?

Cities near Plano, TX with the most Prompt Engineering job openings:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Plano, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $60,275 per year, or $29 per hour.

Sr. NET Software Engineer - AI -(Hybrid Role local to DALLAS TX )

Relevance Lab Inc.

Coppell, TX • On-site

Other

Posted 8 days ago

Job description

Job Title: Senior Software Engineer - AI

Duration: 6 months Contract-to-hire

Location: Onsite Coppell, TX

We are seeking a highly skilled and forward-thinking Senior Software Engineer with over 9 years of experience in designing and developing enterprise-grade solutions using .NET and C#, and at least 1 year of hands-on experience building AI solutions and intelligent agents on the Microsoft platform. 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 our technology stack.

Key Responsibilities

  • Design, develop, and maintain scalable .NET/C# applications and services.
  • Design and implement AI-powered solutions using Microsoft Azure AI services, including Azure OpenAI, Azure AI Foundry, Cognitive Services and Microsoft Agent Framework.
  • Build and deploy intelligent agents that integrate with enterprise systems and workflows.
  • Apply prompt engineering and context engineering to optimize agent behavior and model outputs.
  • Integrate retrieval-augmented generation (RAG) pipelines to enhance agent knowledge and responsiveness.
  • Leverage tool use orchestration and action planning to enable agents to interact with external systems and APIs.
  • Implement memory management strategies for agents (episodic, semantic, and working memory).
  • Use state management, goal tracking, and feedback loops to support autonomous decision-making.
  • Evaluate and verify AI agents using various techniques and tools.
  • Collaborate with cross-functional teams including product managers, data scientists, and DevOps to deliver high-impact solutions.
  • Conduct code reviews, mentor junior engineers, and contribute to best practices in software development and AI integration.
  • Stay current with emerging technologies and trends in AI, machine learning, and software engineering.

Required Qualifications

  • Bachelor s or Master s degree in Computer Science, Engineering, or related field.
  • 9+ years of experience in software development using .NET and C#.
  • 1+ years of experience developing AI solutions and agents using Microsoft technologies.
  • Strong understanding of prompt engineering, context engineering, and LLM-based architectures.
  • Experience with RESTful APIs, microservices, and cloud-native development.
  • Familiarity with CI/CD pipelines, Git, and agile methodologies.
  • Excellent problem-solving, communication, and collaboration skills.

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