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Entry Level Prompt Engineering Jobs in Richardson, TX

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Work with Generative AI, LLMs, prompt engineering, or RAG-based applications. * Deploy and monitor ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

AI Engineer (Entry-Level) -- Agents & Experimentation For more than 25 years, Asurion has led ... Familiarity with LLM APIs, prompt engineering, or agent frameworks * Exposure to cloud platforms or ...

Garney Construction

Project Engineer - Pipe

Mckinney, TX · On-site

$80K/yr

... engineering, construction management, or another related field and is willing to travel and work ... This position is perfect for someone seeking entry-level project management experience with an ...

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All JobsPrompt Engineering JobsEntry Level Prompt Engineering JobsEntry Level Prompt Engineering Jobs in Richardson, TX

Entry Level Prompt Engineering information

See Richardson, TX salary details

$27.2K

$63K

$107.2K

How much do entry level prompt engineering jobs pay per year?

As of Aug 30, 2026, the average yearly pay for entry level prompt engineering in Richardson, TX is $62,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,800.00 and $71,300.00 per year, depending on experience, location, and employer.

What is an entry level prompt engineer?

An entry level prompt engineer is a professional who designs, tests, and refines prompts for artificial intelligence (AI) systems, especially large language models like ChatGPT. Their role involves crafting clear and effective instructions to help AI generate accurate and useful responses. At the entry level, prompt engineers may assist in analyzing outputs, experimenting with prompt variations, and collaborating with developers or data scientists to improve AI performance. This position typically requires strong communication skills, attention to detail, and an interest in AI technology.

What are the key skills and qualifications needed to thrive as an entry level prompt engineer?

To thrive as an Entry Level Prompt Engineer, you need a foundational understanding of natural language processing, basic programming skills (often Python), and familiarity with AI concepts, typically supported by a degree in computer science or a related field. Experience with tools like OpenAI's GPT, prompt design platforms, and version control systems such as Git is commonly required. Strong analytical thinking, creativity, and clear communication help differentiate top performers in this role. These skills are crucial for designing effective prompts, optimizing model outputs, and collaborating with cross-functional teams to deliver impactful AI solutions.

What are some common challenges faced by entry level prompt engineers, and how can they overcome them?

Entry level prompt engineers often encounter challenges such as crafting effective prompts that yield accurate and unbiased responses from AI models, and understanding the nuances of model behavior. Working closely with data scientists and senior prompt engineers can help new hires learn best practices for prompt iteration and troubleshooting. Regular feedback sessions, collaborative prompt reviews, and ongoing experimentation are key to improving prompt design skills. Embracing a growth mindset and staying updated on advancements in language models will also help entry level prompt engineers excel in their roles.

What is the difference between Entry Level Prompt Engineering vs Entry Level Data Scientist?

AspectEntry Level Prompt EngineeringEntry Level Data Scientist
Required CredentialsBachelor's in CS, AI, or related fields; basic understanding of AI modelsBachelor's in CS, Statistics, or related fields; knowledge of programming and statistics
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Industry UsageAI development, chatbot design, NLP applicationsData analysis, predictive modeling, machine learning projects
Search & Comparison IntentUnderstanding entry-level roles in AI prompt designEntry-level roles in data analysis and modeling

Entry Level Prompt Engineering focuses on designing effective prompts for AI models, requiring knowledge of NLP and AI tools. Entry Level Data Scientist involves analyzing data, building models, and deriving insights. Both roles often require similar educational backgrounds but differ in daily tasks and industry applications.

What are popular job titles related to Entry Level Prompt Engineering jobs in Richardson, TX?

For Entry Level Prompt Engineering jobs in Richardson, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Prompt Engineering jobs in Richardson, TX look for?

The top searched job categories for Entry Level Prompt Engineering jobs in Richardson, TX are:

What cities near Richardson, TX are hiring for Entry Level Prompt Engineering jobs?

Cities near Richardson, TX with the most Entry Level Prompt Engineering job openings:

Entry Level Prompt Engineering jobs near you
Infographic showing various Entry Level Prompt Engineering job openings in Richardson, TX as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $62,990 per year, or $30.3 per hour.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 19 days ago

Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

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