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Prompt Engineering Jobs in Allen, TX (NOW HIRING)

select minds

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 ...

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 ...

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 ...

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 ...

Select Minds LLC

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 ...

Delan Associates, Inc.

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

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All JobsPrompt Engineering JobsPrompt Engineering Jobs in Allen, TX

Prompt Engineering information

See Allen, TX salary details

$30.2K

$58.6K

$88.8K

How much do prompt engineering jobs pay per year?

As of Aug 20, 2026, the average yearly pay for prompt engineering in Allen, TX is $58,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $67,000.00 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 Allen, TX?

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

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

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

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

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

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Allen, TX as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $58,580 per year, or $28.2 per hour.

AI/ML Engineer Python, LangChain & Google ADK

K Anand Corporation

Dallas, TX • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: AI/ML Engineer Python, LangChain & Google ADK

Location: Dallas, TX

Duration: 12 Months Contract

Job Summary:

  • We are seeking an experienced AI/ML Engineer with expertise in Python, LangChain, and Google Agent Development Kit (Google ADK) to build and deploy enterprise-grade Generative AI applications and intelligent AI agents. The ideal candidate will have strong experience with LLMs, RAG architectures, prompt engineering, and cloud-native AI solutions.

Required Skills:

  • 8+ years of software development experience with strong Python expertise
  • Hands-on experience with LangChain and Google ADK (Agent Development Kit)
  • Experience building AI agents using LLMs such as Gemini, OpenAI, Claude, or Llama
  • Strong understanding of Retrieval-Augmented Generation (RAG), prompt engineering, and vector databases
  • Experience with Google Cloud Platform (Google Cloud Platform), especially Vertex AI and Gemini APIs
  • Knowledge of REST APIs, microservices, and Docker
  • Experience with Git, CI/CD, and Agile development
  • Familiarity with SQL/NoSQL databases

Preferred Skills:

  • Experience with LangGraph, CrewAI, AutoGen, or similar agentic AI frameworks
  • Knowledge of Pinecone, Weaviate, ChromaDB, or FAISS
  • Experience deploying AI applications on Kubernetes or Google Cloud Platform

Responsibilities:

  • Design and develop AI-powered applications and intelligent agents
  • Build RAG pipelines and integrate LLMs using LangChain and Google ADK
  • Develop scalable APIs and backend services in Python
  • Optimize AI model performance, accuracy, and latency
  • Collaborate with cross-functional teams to deliver production-ready AI solutions
  • Follow best practices for testing, deployment, monitoring, and MLOps

Regards,

Vasu Nag

Associate- Talent Acquisition

Email:

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