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Prompt Engineering Jobs in Forney, TX (NOW HIRING)

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

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

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

SQL/Bigquery/Google Cloud Platform, Python, Prompt Engineering, Hands on experience with SOTA LLMs, Langraph/LangChain, Knowledge management using RAGs/GraphRAGs, Vector Databases * Bonus: Redis ...

Sr Data Scientist GenAI

Dallas, TX · On-site

$150K - $210K/yr

... prompt engineering, RAG (Retrieval-Augmented Generation). - Collaborate closely with ML Engineers, MLOps, software engineering, product, compliance, legal etc., to move models from prototype to ...

AI Lead Engineer

Dallas, TX · Remote

$101K - $133K/yr

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

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 Lead Engineer (Remote)

Dallas, TX · Remote

$104K - $138K/yr

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

AI Lead Engineer

Dallas, TX · On-site

$150 - $210/hr

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

Posted today

Senior AI Engineer

Dallas, TX · On-site

$121K - $160K/yr

Leading the design and development of prompt engineering strategies and techniques to optimize the performance and output of our GenAI models Requirements: Strong hands-on experience building ...

Showing results 41-60

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:
What are popular job titles related to Prompt Engineering jobs in Forney, TX? For Prompt Engineering jobs in Forney, TX, the most frequently searched job titles are:
What job categories do people searching Prompt Engineering jobs in Forney, TX look for? The top searched job categories for Prompt Engineering jobs in Forney, TX are:
What cities near Forney, TX are hiring for Prompt Engineering jobs? Cities near Forney, TX with the most Prompt Engineering job openings:
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.

Software Engineering Intern

Copart, Inc.

Dallas, TX • On-site

Full-time

Re-posted 26 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

11th of 18 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
We are looking for passionate Software Engineering Interns with a strong interest in Artificial Intelligence to work on the development of our next-generation, AI-driven applications for our global expansion. In this role, you will work closely with Product Managers, AI Architects, and Tech Leads to understand requirements, integrate advanced AI capabilities, and build/modify scalable full-stack applications.
Core Duties & Responsibilities:
AI Integration & Development: Design and implement features powered by Large Language Models (LLMs), Generative AI, and Machine Learning APIs into our core web applications.
Full-Stack Engineering: Develop efficient, secure, and real-time applications, peer-review code, and document solutions within an agile-blended software environment.
AI Agent & Workflow Orchestration: Build and optimize conversational agents, Retrieval-Augmented Generation (RAG) pipelines, and prompt engineering workflows.
Collaboration: Communicate proactively with teammates, AI research, infrastructure, security, and QA teams to continuously improve processes and engineering excellence.
Concurrency & Scalability: Write highly concurrent, multi-threaded Java backend services capable of handling real-time AI inference and data streaming.
Required Skills:
Education: Bachelor's degree or higher (or currently pursuing) in Computer Science, Artificial Intelligence, Engineering, or a highly quantitative field.
AI & LLM Foundational Knowledge:
Hands-on experience or academic projects working with LLM APIs (OpenAI, Anthropic, Ollama, Hugging Face).
Familiarity with RAG (Retrieval-Augmented Generation) architectures and prompt engineering.
Understanding of vector databases (e.g., Pinecone, Milvus, Chroma, or pgvector).
Backend & Concurrency (Java/Spring):
Strong experience with Spring Boot, Spring WebFlux (for reactive/streaming APIs), and MVC.
Solid understanding of Core Java, multithreaded programming, and asynchronous task execution (essential for managing AI model call latency).
Experience writing Unit tests using JUnit and mocking frameworks.
Frontend (React/Modern JS):
Experience with JavaScript/TypeScript, HTML5, CSS, and modern client-side frameworks (preferably ReactJS or Next.js for building AI chat interfaces and dashboards).
Ability to work on real-time web applications (WebSockets, Server-Sent Events for streaming AI responses).
Soft Skills & Mindset:
Excellent problem-solving skills and a strong mathematical/logical foundation.
Innovative drive and a passion for quick mastery of emerging AI technologies, frameworks, and tools.
Self-motivated, naturally curious, and able to thrive in a fast-paced, client-focused environment.
Skilled in technical writing, including documenting AI system architectures and data flows.
Additional Skills (Nice to Haves):
AI Frameworks: Experience with AI orchestration frameworks like LangChain, LlamaIndex, or Spring AI.
Python: Familiarity with Python (the primary language for data science/AI scripting) in addition to Java.
Data & Databases:
Experience writing SQL and stored procedures.
Familiarity with relational databases (MySQL, PostgreSQL) and NoSQL databases.
DevOps & Deployment:
Experience with Git, Maven, and CI/CD tools (Jenkins, GitHub Actions).
Familiarity with cloud platforms (AWS, Azure, or GCP) and Docker containers for deploying AI models/services.
Basic knowledge of Unix/Linux environments
#LI-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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