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Ai Prompt Engineer Entry Level Jobs (NOW HIRING)

Ignite IT is seeking a Junior AI Prompt Engineer to support U.S. Customs and Border Protection (CBP). In this role, you will work directly with stakeholders to identify opportunities for AI adoption ...

OVA.Work is looking for a creative and technically skilled Prompt Engineer to design, test, and optimize prompts for large language models and other generative AI systems. The role involves ...

As a Prompt Engineer, you will play a crucial role in our AI development team by designing and developing prompts that enable optimal performance from our AI models and algorithms. Your skills in ...

... product, engineering, and business teams to translate requirements into AI-driven solutions • Develop prompt libraries, templates, and best practices • Conduct A/B testing and performance ...

Five9 is one of the world's leading cloud contact center platforms, and our AI-powered Automated ... We are seeking three WEM AQM Prompt Engineers to join this new capability team. These roles sit at ...

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Ai Prompt Engineer Entry Level information

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$30K

$69.4K

$118K

How much do ai prompt engineer entry level jobs pay per year?

As of Sep 15, 2026, the average yearly pay for ai prompt engineer entry level 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.

What is an AI prompt engineer at the entry level?

An entry-level AI Prompt Engineer is a professional who specializes in designing, testing, and refining prompts used to interact with AI language models like ChatGPT. Their main responsibility is to create effective prompts that guide AI systems to generate accurate, relevant, and useful responses for specific tasks or applications. Entry-level prompt engineers often work closely with data scientists, developers, and product teams to improve AI outputs, ensuring the technology meets user needs. This role requires strong analytical skills, creativity, and a basic understanding of natural language processing and machine learning concepts.

What are some common challenges faced by entry-level AI prompt engineers when working with large language models?

Entry-level AI Prompt Engineers often encounter challenges such as crafting effective prompts that elicit accurate and relevant responses from large language models. Balancing specificity and creativity while avoiding ambiguity can be tricky, and it's common to iterate multiple times before achieving the desired output. Additionally, understanding the model's limitations and biases is essential to avoid unintended results. Collaboration with data scientists and software engineers is frequent, as prompt engineers may need to integrate their work into larger AI systems or workflows.

What are the key skills and qualifications needed to thrive as an entry-level AI prompt engineer, and why are they important?

To thrive as an Entry-Level AI Prompt Engineer, you need a foundational understanding of natural language processing, prompt design, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms like OpenAI, experience with prompt engineering tools, and basic knowledge of Python or similar languages are typically expected. Strong analytical thinking, creativity, and effective communication help you craft clear, high-performing prompts and collaborate with cross-functional teams. These skills are essential for developing accurate, user-friendly AI outputs and ensuring the practical success of AI-driven projects.

What is the difference between Ai Prompt Engineer Entry Level vs Ai Content Specialist?

AspectAi Prompt Engineer Entry LevelAi Content Specialist
Required CredentialsBasic knowledge of AI, programming, or linguistics; often a degree in related fieldsWriting, editing, or marketing background; often a degree in communications or related fields
Work EnvironmentTech companies, AI startups, or freelance projectsMedia agencies, content creation firms, or corporate marketing teams
Employer & Industry UsagePrimarily in AI development and machine learning industriesIn advertising, media, and digital marketing sectors

While both roles involve working with digital content and technology, Ai Prompt Engineers focus on designing prompts for AI models, whereas Ai Content Specialists create and manage content for various platforms. The roles share some technical skills but differ in their core responsibilities and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with job growth driven by expanding AI adoption across industries.

How to get into AI prompt engineering?

To enter AI prompt engineering, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior; certifications in AI or data science can also be beneficial.
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Infographic showing various Ai Prompt Engineer Entry Level job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

Ai Prompt Engineer - Dallas, Tx

Dallas, TX • On-site

Motion Recruitment Partners, LLC
Recruiting and Staffing Services • 1 - 5K employees

$76.14 - $85.80/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Key responsibilities

  • Develop and refine advanced prompting methodologies used in cybersecurity-focused AI initiatives

  • Build prompt-based frameworks that support automated security analysis and testing functions

  • Evaluate the effectiveness of prompts and model configurations across multiple LLM environments


Job description

Job Description A large enterprise technology organization is seeking an experienced Generative AI Prompt Engineer to join a specialized team focused on applying artificial intelligence to cybersecurity challenges. This group is responsible for developing AI-powered approaches that improve security testing, vulnerability analysis, and threat identification through the use of advanced language models and emerging AI technologies.
The successful candidate will bring a combination of hands-on prompt engineering expertise, software development experience, and cybersecurity knowledge. Rather than focusing on AI theory, the team is looking for individuals who have built practical solutions, experimented with model behavior, and successfully implemented AI-driven capabilities that produce measurable outcomes.
This role offers the opportunity to work with modern frontier models while collaborating with engineers, researchers, and security professionals on initiatives designed to strengthen enterprise security programs and improve the effectiveness of automated analysis.
This is a 12-month contract opportunity based in Dallas, TX with a hybrid work schedule requiring three days per week onsite. Required Skills & Experience
  • Experience creating advanced prompt architectures for Generative AI and Large Language Models
  • Demonstrated success developing AI-enabled solutions, workflows, or prompt orchestration frameworks
  • Strong understanding of modern LLM platforms and model evaluation techniques
  • Cybersecurity experience involving security analysis, vulnerability identification, or defensive security practices
  • Familiarity with application security concepts including DAST, SAST, and risk assessment methodologies
  • Programming experience in Python, Go, .NET, or related languages
  • Ability to test, measure, and improve AI performance through experimentation and iteration
  • Understanding of network security concepts and common attack patterns
  • Strong troubleshooting, analytical, and communication skills
  • Experience collaborating within technical teams to deliver business-focused outcomes
Desired Skills & Experience
  • Adversarial AI, AI red team, or AI security testing experience
  • Practical exposure to frontier model evaluation and prompt optimization
  • Experience supporting cyber defense or threat-hunting initiatives
  • Knowledge of malware behavior, vulnerability management, and security investigations
  • Experience with PostgreSQL, Elasticsearch, Cloud SQL, or comparable data platforms
  • Cloud infrastructure experience
  • Familiarity with Kubernetes or GKE environments
  • Exposure to large-scale enterprise technology ecosystems
What You Will Be Doing Daily Responsibilities
  • Develop and refine advanced prompting methodologies used in cybersecurity-focused AI initiatives
  • Build prompt-based frameworks that support automated security analysis and testing functions
  • Design AI workflows capable of generating valuable insights related to vulnerabilities and security risks
  • Evaluate the effectiveness of prompts and model configurations across multiple LLM environments
  • Research new prompting strategies that improve accuracy, consistency, and security-focused outcomes
  • Work closely with security teams to understand findings and determine which results require further investigation
  • Support AI-assisted initiatives related to vulnerability analysis, scanning, and security research
  • Help structure and organize data produced by AI systems for downstream operational use
  • Rapidly prototype new capabilities and iterate based on testing results and stakeholder feedback
  • Remain informed on developments within Generative AI and cybersecurity to identify future opportunities
The Offer
  • $76.14/hr - $85.80/hr W2
  • 12-Month Contract
  • Hybrid Schedule (3 Days Onsite)
  • Dallas, Texas
  • Opportunity to work at the intersection of Artificial Intelligence and Cybersecurity
  • Exposure to advanced language models, security research, and innovative technology initiatives
  • Collaborative, highly technical team environment focused on experimentation and delivery
You will receive the following benefits
  • Medical Insurance
  • Dental Benefits
  • Vision Benefits
  • Paid Time Off (PTO)
  • 401(k)
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.