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Entry Level Prompt Engineering Jobs in Austin, TX

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 ...

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 ...

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 ...

Entry Level Prompt Engineering information

See Austin, TX salary details

$29.7K

$68.8K

$117K

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

As of Jul 17, 2026, the average yearly pay for entry level prompt engineering in Austin, TX is $68,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $77,800.00 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 Austin, TX? The most popular types of Prompt Engineering jobs in Austin, TX are:
What are popular job titles related to Entry Level Prompt Engineering jobs in Austin, TX? For Entry Level Prompt Engineering jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Prompt Engineering jobs in Austin, TX look for? The top searched job categories for Entry Level Prompt Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Entry Level Prompt Engineering jobs? Cities near Austin, TX with the most Entry Level Prompt Engineering job openings:
Infographic showing various Entry Level Prompt Engineering job openings in Austin, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,752 per year, or $33.1 per hour.
Applied AI Engineer(EDA), Platform Architecture

Applied AI Engineer(EDA), Platform Architecture

Apple

Austin, TX • On-site

Full-time

Re-posted 7 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Apple's Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation.
We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA), building autonomous agents that triage errors, tune simulation parameters, and drastically reduce maintenance burdens for silicon verification teams.
Description
In this role, you will focus on AI based automations, infrastructure development, and continuous experimentation at the intersection of hardware design and verification.
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).
Experience in one of the following two areas: Applied AI (experience building, deploying, and maintaining LLM-based applications, agentic workflows, or advanced prompt engineering, combined with an entry-level familiarity with EDA tools or hardware verification concepts), or EDA/Silicon (experience with RTL design, simulation, or hardware emulation platforms, combined with a demonstrated track record of working in research-oriented roles applying software automation or ML to hardware problems).
Experience with scripting, infrastructure development, and software engineering (e.g., Python, C/C++).
Preferred Qualifications
Master's in Computer Science, Electrical Engineering, or a related AI/Hardware field.
Hands-on experience with Design Verification tasks requiring application of EDA tools, including Logic Equivalence Checking (LEC), linting / static analysis tools, waveform debugging, and simulation / emulation flows.
Familiarity with Verilog, SystemVerilog, or architecting HDL testbenches for functional verification.
Experience developing software tools for co-simulating designs across multiple high-performance platforms.
Comfortable exploring unfamiliar codebases, researching cutting-edge techniques, and rapidly prototyping automated solutions.
Experience applying research methods: literature review, data-driven experimentation, analyzing results.
Strong communication skills, with the ability to collaborate effectively with cross-functional silicon engineering, design verification, and EDA development teams.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976