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Entry Level Prompt Engineering Jobs in Texas (NOW HIRING)

Brooksource

Elevate Tester

Plano, TX · On-site

$30 - $32/hr

... an entry-level Software Tester / Quality Analyst for a 12-month contract position based in Dallas ... Familiarity with GenAI/LLM concepts and evaluation basics, including prompt engineering ...

Garney Construction

Field Engineer

Odessa, TX · On-site

$75K/yr

This position is perfect for someone seeking entry-level project management experience with an ... prompt response. Please note that email inquiries are not a substitute for submitting an ...

Garney Construction

Field Engineer

Odessa, TX · On-site

$75K/yr

This position is perfect for someone seeking entry-level project management experience with an ... prompt response. Please note that email inquiries are not a substitute for submitting an ...

Killam Companies

Reservoir Engineer

Laredo, TX · On-site

EXPERIENCE: * Entry-level reservoir engineering and field development. * Strong knowledge of ... while providing prompt, efficient, and accurate assistance. * Follow and exchange basic ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Implement testing strategies for AI behavior including prompt evaluation, regression testing ...

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Entry Level Prompt Engineering information

See Texas salary details

$27.9K

$64.6K

$109.9K

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

As of Jul 8, 2026, the average yearly pay for entry level prompt engineering in Texas is $64,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,000.00 and $73,100.00 per year, depending on experience, location, and employer.

Can I become an AI prompt engineer with no experience?

Entry level prompt engineering roles typically require some understanding of AI language models and basic programming or scripting skills. While prior experience is not always mandatory, developing familiarity with tools like GPT and practicing prompt design can improve your chances of entering the field. Learning through online courses, tutorials, and hands-on experimentation is common for beginners.

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 the key skills and qualifications needed to thrive as an Entry Level Prompt Engineer, and why are they important?

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.

Are prompt engineers still in demand?

Prompt engineering is a growing field as organizations seek to optimize AI language models, making prompt engineers increasingly in demand. The role requires skills in natural language processing, understanding AI tools, and crafting effective prompts, with demand expected to continue rising as AI adoption expands across industries.

How much does an entry-level prompt engineer make?

Entry-level prompt engineers typically earn between $50,000 and $70,000 annually, depending on location, company, and prior experience. Strong skills in AI, natural language processing, and familiarity with tools like GPT are often required for these roles.

How to start a career as a prompt engineer?

To start a career as a prompt engineer, develop skills in natural language processing, machine learning, and AI model interaction. Gain experience with tools like OpenAI's API, learn to craft effective prompts, and build a portfolio of prompt examples. Relevant certifications or courses in AI and programming can also enhance your prospects.

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 most commonly searched types of Prompt Engineering jobs in Texas? The most popular types of Prompt Engineering jobs in Texas are:
What are popular job titles related to Entry Level Prompt Engineering jobs in Texas? For Entry Level Prompt Engineering jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Prompt Engineering jobs in Texas look for? The top searched job categories for Entry Level Prompt Engineering jobs in Texas are:
What cities in Texas are hiring for Entry Level Prompt Engineering jobs? Cities in Texas 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 Texas as of July 2026, with employment types broken down into 1% Locum Tenens, 91% Full Time, 5% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $64,621 per year, or $31.1 per hour.
AI Engineer (Entry-Level)

AI Engineer (Entry-Level)

United Smart Tech

Carrollton, TX • On-site

Full-time

Posted 10 days ago

Job description

Salary: $20-$23/hour

AI Engineer (Entry-Level) Agents & Experimentation


For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help people stay connected by providing expert advice, reliable repair services, and device protection across all their technology.


We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by doing, thrives in ambiguity, and is excited about experimenting with cutting-edge AI models and tools.

You will work closely with cross-functional teams to turn early ideas into working prototypes and explore where AI can create real operational impact.



What Youll Do

  • Build and deploy AI agents for internal tools and customer-facing use cases
  • Experiment with frontier and open-source models (e.g., Claude, GPT-based models, and emerging frameworks)
  • Rapidly prototype ideas, test performance, and iterate based on results
  • Integrate AI models with APIs, workflows, and business systems
  • Research and apply new AI tools, libraries, and agent frameworks as they emerge
  • Collaborate with teams to identify opportunities where AI can improve efficiency or automation



What Were Looking For

  • Bachelors degree in Computer Science, Engineering, or related field (completed or in progress)
  • Strong programming skills, preferably in Python
  • Experience working with APIs and basic backend integration
  • Demonstrated curiosity in AI/ML through personal projects, experiments, or coursework
  • High ownership mindset able to take vague problems and build solutions independently
  • Comfortable working in fast-changing environments with minimal structure
  • Strong problem-solving and experimentation mindset



Nice to Have

  • Experience building personal AI projects, bots, or automation tools
  • Familiarity with LLM APIs, prompt engineering, or agent frameworks
  • Exposure to cloud platforms or deployment tools
  • GitHub portfolio or live projects


Note: AI Projects Portfolio Request

Please prepare a portfolio showcasing the AI projects completed so far. The portfolio should include a brief description of each project, its purpose, key features, tools/technologies used, and the current status or outcomes. This will help provide a clear overview of the work completed to date.


uBreakiFix is an equal-opportunity employer, dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.