2

Entry Level Prompt Engineering Jobs (NOW HIRING)

Associate AI Operations

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how ...

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how ...

AI Implementation Specialist

Provo, UT · On-site

$50K - $90K/yr

... 90,000 Experience: Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Familiar with LLMs and prompt engineering - you've gone beyond ChatGPT small talk and actually ...

... 90,000 Experience: Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Familiar with LLMs and prompt engineering - you've gone beyond ChatGPT small talk and actually ...

AI Implementation Specialist

Provo, UT · On-site

$50K - $90K/yr

... 90,000 Experience: Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Familiar with LLMs and prompt engineering - you've gone beyond ChatGPT small talk and actually ...

Associate Deploy Consultant

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of ...

... 90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ... Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how ...

... 90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ... Interested in LLMs and prompt engineering. You've spent some time with AI tools and have a sense of ...

AI Strategy Consultant

Provo, UT · On-site

$50K - $90K/yr

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Interested in LLMs and prompt engineering. You don't need deep technical experience, but you've ...

... 50,000 - $90,000 | Entry-Level / 0-2 Years ABOUT ATONOM Atonom.ai builds Cloud Employees ... Interested in LLMs and prompt engineering. You don't need deep technical experience, but you've ...

... 90,000 | Entry-Level / 02 Years ABOUT ATONOM Atonom.ai builds Cloud Employees: intelligent AI ... Interested in LLMs and prompt engineering. You don't need deep technical experience, but you've ...

We combine our passion for engineering with our client's vision to realize successful ... Excellent verbal and written communication skills to maintain professional, polite and prompt ...

We combine our passion for engineering with our client's vision to realize successful construction ... Excellent verbal and written communication skills to maintain professional, polite and prompt ...

We combine our passion for engineering with our client's vision to realize successful ... Excellent verbal and written communication skills to maintain professional, polite and prompt ...

We combine our passion for engineering with our client's vision to realize successful construction ... Excellent verbal and written communication skills to maintain professional, polite and prompt ...

Agentic AI Developer

$63K - $105K/yr

... years of entry-level experience * Foundational knowledge of artificial intelligence, machine ... Understanding of prompt engineering and basic interactions with Large Language Models * Strong ...

next page

Showing results 1-20

Entry Level Prompt Engineering information

See salary details

$30K

$69.4K

$118K

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 the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 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.
More about Entry Level Prompt Engineering jobs
What cities are hiring for Entry Level Prompt Engineering jobs? Cities with the most Entry Level Prompt Engineering job openings:
What are the most commonly searched types of Prompt Engineering jobs? The most popular types of Prompt Engineering jobs are:
What states have the most Entry Level Prompt Engineering jobs? States with the most job openings for Entry Level Prompt Engineering jobs include:
Infographic showing various Entry Level Prompt Engineering job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Associate AI Operations

Atonom

Provo, UT • On-site

$50K - $90K/yr

Full-time

Medical, PTO

Re-posted 12 days ago


Job description

Associate AI Operations
Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 | Entry-Level / 0-2 Years
ABOUT ATONOM
Atonom.ai builds Cloud Employees: intelligent AI agents that execute complex work across Sales, Marketing, Support, and HR. We believe growth should be limited by ambition, not headcount. We move beyond simple automation to genuine autonomy, empowering businesses to scale instantly. Join us as we build the infrastructure for the next generation of work.
THE ROLE
As a Associate AI Operations, you'll work alongside senior team members to configure, deploy, and optimize AI Cloud Employees for our customers. This is a hands-on role where you'll learn quickly, work directly with clients, and see the impact of your work from day one. You don't need years of experience. You need curiosity, technical aptitude, and the drive to figure things out.
WHAT YOU'LL DO
  • Help monitor, maintain, and optimize deployed AI Cloud Employees across the customer base.
  • Join client calls to understand operational needs and translate them into AI workflow configurations, including prompt tuning, automation logic, and QA checks.
  • Troubleshoot operational issues with guidance from senior team members. Dig into logs, spot failure patterns, and help resolve problems quickly.
  • Document operational procedures, build runbooks, and contribute to internal knowledge bases.
  • Share product feedback with Engineering and Product teams, including reliability trends, performance gaps, and customer pain points.

WHO YOU ARE
  • Recent graduate (or soon to be) in Computer Science, Information Systems, Business Analytics, Operations Research, or a related field. Self-taught candidates with relevant experience are also welcome.
  • Operationally minded. You like understanding how systems work end-to-end and figuring out how to make them run more smoothly.
  • Interested in LLMs and prompt engineering. You've gone beyond basic usage and started exploring how AI performs in real-world workflows.
  • A strong communicator who can translate operational findings and technical details into language that non-technical audiences understand.
  • Self-directed and low-ego. You ask good questions, take feedback well, and move fast in ambiguous situations.

YOUR FIRST 90 DAYS
  • Month 1: Learn the Atonom platform inside and out. Shadow senior team members on client calls and implementations. Get certified on internal tooling.
  • Month 2: Take ownership of your first customer implementations with senior support. Begin contributing to internal documentation and playbooks.
  • Month 3: Run implementations with increasing independence. Present learnings and customer pain points to the Product team.

TECHNICAL SKILLS (NICE TO HAVE)
  • Exposure to workflow automation tools (Zapier, Make, or similar).
  • Basic understanding of APIs, webhooks, or data integrations.
  • Familiarity with SQL, Python, or JavaScript.
  • Experience with CRMs like Salesforce or HubSpot.
  • Any hands-on project involving LLMs or prompt engineering (personal, academic, or professional).

WHY JOIN
  • Real AI work. Not research papers. Production agents that generate measurable ROI for real businesses.
  • Mentorship built in. Learn from experienced specialists who invest in your growth.
  • Career velocity. High-visibility role with clear paths toward Solutions Architecture, Product, or Team Leadership.
  • Impact from day one. Small team, fast shipping, your contributions matter immediately.

BENEFITS
  • PTO accrual starts on day one.
  • Competitive health benefits package.
  • Paid holidays and company events.
  • Competitive salary.