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Prompt Engineering Jobs in Forney, TX (NOW HIRING)

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 ...

Mind Ware Inc

Java Full Stack Developer

Irving, TX · On-site

$50.50 - $65/hr

Exposure to Generative AI and prompt engineering is a plus. Experience and Qualifications 10+ years of hands-on full stack development experience delivering enterprise-grade applications. Strong ...

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 ...

Photon

Agentic AI Workflow Engineer

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 ...

OMS MEDICAL BILLING LLC

AI/ML Engineer

Addison, TX · Hybrid

Own the full lifecycle: data preparation, model selection, fine-tuning/prompt engineering, evaluation, deployment, and monitoring * Build evaluation frameworks and safety guardrails for LLM-based ...

Apex Informatics

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

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.

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 ...

Texas Instruments

AI/ML Engineer

Richardson, TX · On-site

Work with GenAI & LLMs - contribute to LLM-based features including RAG systems, prompt engineering, and agentic workflows; experiment with different approaches and document learnings * Collaborate ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows. * Collaboration: Communicate proactively with teammates, AI research ...

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Showing results 21-40

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Forney, TX

Prompt Engineering information

See Forney, TX salary details

$29.3K

$56.7K

$86K

How much do prompt engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for prompt engineering in Forney, TX is $56,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,300.00 and $64,900.00 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 do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of AI behavior.

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 Forney, TX? The most popular types of Prompt Engineering jobs in Forney, TX are:
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What cities near Forney, TX are hiring for Prompt Engineering jobs? Cities near Forney, TX with the most Prompt Engineering job openings:
Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Forney, TX as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, 4% Contract, and 2% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $56,733 per year, or $27.3 per hour.

AI/ML Application Developer (F2F Interview in Dallas, TX & Charlotte, NC)

Saransh Inc

Dallas, TX • On-site

Contractor

Re-posted 19 days ago

Job description

Role: AI/ML Application Developer
Location: Dallas, TX (work from office in Hybrid mode)
Job Type: Contract
 
Note: In-person interview mandate available over Dallas, TX and Charlotte, NC
 
Required Skills:
  • GenAI, NLP, LLM, Agentic AI, Prompt Engineer, LangChain, LangGraph, Google ADK.
  • Should be very well versed in deployment process too.
 
Responsibilities:
  • Oversee the integration of Agentic AI and Prompt Engineering into existing systems to improve efficiency and functionality.
  • Provide expertise in Natural Language Processing (NLP) to develop advanced language models and applications.
  • Collaborate with cross-functional teams to leverage LLMs - Open Sources for innovative solutions and improvements.
  • Utilize Langchain to streamline processes and optimize system performance.
  • Ensure the delivery of high-quality software solutions that meet client requirements and industry standards.
  • Conduct thorough testing and debugging of applications to ensure reliability and performance.
  • Mentor and guide junior team members to foster a collaborative and productive work environment.
  • Analyze project requirements and design scalable and efficient software architectures.
  • Contribute to the continuous improvement of development processes and methodologies.
  • Communicate effectively with stakeholders to understand project goals and deliverables.
  • Drive the adoption of best practices in software development and project management.
 
Qualifications:
  • Possess strong knowledge of Agentic AI and its applications in software development.
  • Exhibit expertise in Prompt Engineering and its integration into complex systems
  • Have a solid understanding of NLP techniques and their practical implementations.
  • Show experience with LLMs - Open Sources and their utilization in innovative projects.
  • Display familiarity with Langchain and its role in optimizing workflows.
  • Hold a degree in Computer Science, Engineering, or a related field.