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Entry Level Prompt Engineering Jobs (NOW HIRING)

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and ... Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or ...

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or ...

Snap-on Inc

Support Engineer

Kenosha, WI · On-site

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or ...

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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:
What job categories do people searching Entry Level Prompt Engineering jobs look for? The top searched job categories for Entry Level Prompt Engineering jobs are:
Entry Level Prompt Engineering jobs near you
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.
AI-First Software Engineer (Entry Level, multiple roles open)

AI-First Software Engineer (Entry Level, multiple roles open)

Nymbus, Inc.

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago

Job description

Nymbus (https://nymbus.com/) isn't just a leader in fintech; we're a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.
Here, you won't just be part of a tech revolution. You'll be at the helm, driving change. You'll fit right in if you're a creative thinker who's eager to reduce technical debt and increase agility for banks and credit unions. Our culture thrives on collaboration, integrity, and a client-first approach.
We operate with an AI-first mindset across all aspects of our business, continuously improving our efficiency and increasing the value we deliver to clients. We're looking for individuals who are intensely curious about emerging technologies and passionate about innovation.
Your journey with us won't simply advance your career; it will offer the chance to help shape an industry alongside like-minded professionals. We're excited to consider you a key player in this transformative chapter. Thank you for considering a role with Nymbus.
WORK ENVIRONMENT:
We are primarily a remote-first company, but you may need to travel a few times per year to visit client sites or attend meetings at designated locations with your team members. Working hours align with the Eastern Time Zone, so candidates located in the Eastern or Central time zones are preferred.
Priority will be given to Atlanta based candidates.
POSITION SUMMARY:
Experience Level: New College Graduate / Early Career (0-5 years)
Team: Product Engineering
Why This Role Exists
We believe the next generation of great engineers will be AI-native, not AI-adjacent. This role is designed for a new or recent college graduate who already treats AI as a core development tool-not a novelty.
You'll work alongside senior engineers to ship real features, improve production systems, and experiment aggressively with AI-driven development workflows. This is not a "ticket-taker" role. We're looking for someone who takes ownership, moves fast, and cares deeply about an efficient design, code quality and impact.
What You'll Do
  • Build and ship production features across backend, frontend, and AI-enabled workflows
  • Use AI tools (Claude, AWS Kiro, Copilot, etc.) as force multipliers-not crutches
  • Write clean, readable, testable code that can scale with the business
  • Collaborate with product management and design teams to turn ambiguous problems into working solutions
  • Prototype quickly, validate assumptions, and iterate based on real feedback
  • Improve developer productivity through automation, tooling, and experimentation
  • Learn our systems deeply and continuously raise the quality bar

WHAT WE ARE LOOKING FOR:
Core Traits (Must Have)
  • High agency: You don't wait to be told what to do-you figure out what should be done
  • Problem solver: You enjoy unclear problems more than clearly defined ones
  • Experimenter mindset: You try things, measure results, and adjust
  • Quality-driven: You care about correctness, readability, and long-term maintainability
  • Scale-oriented thinking: Performance and stability are incorporated from the beginning
  • Personal Ownership: You take pride in your work and ensure success end-to-end

Technical Foundation
  • Strong fundamentals in computer science (data structures, algorithms, systems thinking)
  • Experience building applications in at least one modern language (e.g., Python, TypeScript, Java, Go)
  • Familiarity with APIs, databases, and basic cloud concepts
  • Comfortable using Git and collaborating in a team codebase

AI-First Bonus Points
  • Hands-on experience with Claude, AWS Kiro, or similar AI developer tools
  • Curiosity about LLMs, prompt design, agent workflows, or AI-assisted architectures
  • Experience using AI for:
    • Code generation and refactoring
    • Test creation
    • Debugging and reasoning through complex logic

WHAT SUCCESS LOOKS LIKE:
(First 1-6 Months)
  • You learn our service delivery lifecycle and about our existing products
  • Proficient in our standard development tools and AI Services for development
  • Successfully completed multiple POCs and investigations in innovation projects
  • Experience troubleshooting issues using AI services
  • You're growing faster than a traditional entry-level engineer

(First 6-12 Months)
  • You're shipping meaningful features independently
  • You proactively improve code, tooling, or workflows without being asked
  • You use AI intelligently knowing when to trust it and when to override it
  • Conducting code reviews for other developers
  • Sharing lessons learned and tips & tricks for AI assisted development

INTERVIEW PROCESS:
  • Candidates will typically progress through up to three interviews, each lasting 30 to 60 minutes, with various members of our team. Typical interview sessions include HR discussion, hiring manager, and a technical interview.
  • The technical interview will require a demonstration of development using your preferred IDE. It will focus on how you've incorporated AI into your development activities, including the services you've used, the features you like and dislike, and how AI has supported your debugging, feature design, code review, and code generation.

SALARY & BENEFITS:
  • $75,000 - $85,000 Annual Salary
  • Annual Cash Bonus and Equity Options commensurate with the role level and experience
  • 100% Remote
  • 401(k) plan
  • Insurance - Health, Dental and Vision
  • Flexible Paid Time Off

Ready to join? We invite you to watch this video and learn who we are and how we build and innovates together!
Let's Go!

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