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Entry Level Prompt Engineer Jobs in Edison, NJ (NOW HIRING)

Regal

AI Product Specialist

New York, NY

We view this role as a jumping off point for entry-level talent looking to start their careers in ... You'll blend prompt engineering techniques with user-focused product sense to deliver natural ...

A+E Networks

Sales Service Representative

New York, NY · On-site

$28.15 - $31.67/hr

We currently have exciting entry-level opportunities within our Media Solutions team for self ... As an SSR, you will provide prompt, accurate, and professional service to clients and advertising ...

All JobsEntry Level Prompt Engineer JobsEntry Level Prompt Engineer Jobs in Edison, NJ

Entry Level Prompt Engineer information

See Edison, NJ salary details

$31.1K

$71.8K

$122.2K

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

As of Jul 4, 2026, the average yearly pay for entry level prompt engineer in Edison, NJ is $71,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,300.00 and $81,300.00 per year, depending on experience, location, and employer.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools, making it a valuable skill set in the growing AI industry.

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 programming languages such as Python, and build a portfolio of prompt design projects to demonstrate your ability to craft effective prompts.

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 knowledge of AI tools, practicing prompt design, and learning relevant platforms can improve your chances of entering the field.

What is an Entry Level Prompt Engineer job?

An Entry Level Prompt Engineer is responsible for designing, testing, and refining prompts to improve the performance of AI language models. They work with machine learning engineers and data scientists to optimize outputs for accuracy, clarity, and efficiency. This role requires strong analytical thinking, creativity, and an understanding of how AI models interpret language. Basic programming skills and familiarity with AI tools can be beneficial, though not always required. It is a great starting point for those interested in AI and natural language processing.

What are the key skills and qualifications needed to thrive in the Entry Level Prompt Engineer position, and why are they important?

To excel as an Entry Level Prompt Engineer, you need a solid understanding of language models, natural language processing, and basic programming skills, usually supported by a degree in computer science or a related field. Familiarity with platforms like OpenAI's GPT, prompt engineering tools, and version control systems such as Git is often required. Strong analytical thinking, creativity, and clear written communication help you craft and refine effective prompts and collaborate with technical teams. These combined skills and qualities ensure you can design prompts that reliably generate accurate, relevant outputs and contribute to continuous AI improvement.

What are some typical projects or tasks an Entry Level Prompt Engineer might work on during their first year?

As an Entry Level Prompt Engineer, you will likely assist in designing, testing, and optimizing prompts for generative AI systems used in various applications, such as customer support, content creation, and data analysis. Your daily responsibilities may include analyzing prompt outcomes, debugging prompt-related issues, and collaborating with engineers and product managers to align AI outputs with business objectives. You'll often participate in user feedback sessions and help document prompt behaviors and recommended best practices. This hands-on experience will deepen your understanding of AI behavior and prepare you for more complex prompt engineering tasks as you advance in your career.

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 models can influence starting salaries.
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Entry Level Prompt Engineer jobs near you
Infographic showing various Entry Level Prompt Engineer job openings in Edison, NJ as of June 2026, with employment types broken down into 2% As Needed, 45% Full Time, 50% Part Time, 1% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $71,807 per year, or $34.5 per hour.
AI Product Specialist

AI Product Specialist

Regal

New York, NY

Full-time

Posted 14 days ago

Job description

ABOUT US:
Founded in 2020, Regal is the AI Agent Platform. Regal gives every company the tools to transform customer communications with delightful AI Agents that are connected to your data, easy to customize and monitor, always-available, and ready to take action. Power better support, sales and operations – with way less effort. Our founders, Alex Levin and Rebecca Greene helped build Angi (Angie’s List, HomeAdvisor and Handy) to over $1.5B in revenue.

Based in Manhattan, we’re building an in-person culture of entrepreneurs who want to win and build something meaningful. We’re backed by top investors including Founder Collective, Homebrew and Emergence Capital.

Come join us as we create a category-defining company, and follow Regal's company page on LinkedIn to stay up-to-date on our journey and current job openings!

ABOUT THE ROLE:
We believe that ten years from now, 90% of businesses interactions with their customers will be handled by autonomous AI Agents. This role is at the forefront of defining those AI Agents that all of us will speak to.
 
The AI Agent Product Specialist role starts with two weeks of intensive training where you will learn to build AI Agents using the Regal AI Agent Platform. Get up to speed on our prompting best practices, function building, and the Regal Operating System. From then on, you’re writing the script. We view this role as a jumping off point for entry-level talent looking to start their careers in the exploding field of AI. After 1-2 years in this role, you will be prepared to take on more senior roles at Regal in engineering, product management or customer success.
 
AI Product Specialists at Regal own the creation and refinement of voice prompts, and conversation flows of AI Agents. You’ll blend prompt engineering techniques with user-focused product sense to deliver natural, brand-aligned interactions that meet business objectives. You’ll become an expert at the different settings/toggles/techniques that STT providers, TTS providers and LLMs expose to tune the performance of AI Agents. And with new use cases, you’ll pioneer new prompt engineering techniques, build new functions and deliver product feedback to the Regal product and engineering teams on new feature sets to enhance AI Agent performance. Finally, you’ll own Quality Control and testing of AI Agents to ensure they meet quality standards.
RESPONSIBILITIES:
  • Understand customer requirements: Work with AI Forward Deployed engineers to understand customer use cases, requirements for AI agents and their business objectives. Review customer’s existing human agent call recordings, scripts, training documents, FAQs/knowledge bases and brand guidelines to inform their AI Agent.
  • Shape Conversational Experiences: Build AI Agents on the Regal AI Agent Platform leveraging prompt engineering and conversational flows; tune AI agent settings (STT, LLM, TTS) to achieve the conversational quality that is Regal’s signature and that meets customer’s requirements and business objectives. 
  • Build Custom Functions/Tooling: Understand the limitations of LLMs and where code is needed to achieve certain use cases/performance. Use your coding chops to build custom functions that allow your AI Agents to take actions such as validate zip code, schedule callback, update profile.
  • QA Test: Develop test cases and thoroughly test your AI Agents to ensure they pass Regal and the customer’s quality bar. Develop tooling, where needed, to scale QA testing and deliverables to build customers’ confidence in AI Agents so they don’t have to put QA hours against it
  • Iterate & Learn: Review agent performance in partnership with AI Forward Deployed Engineer who owns the client relationship. Iterate the AI Agent based on customer success criteria
  • Codify Best Practices: Leverage, share, and document best practices for building AI Agents and achieving certain use cases. Participate in prompt engineering forums and research best practices to add to our own techniques. Document what we’ve learned in a digestible way for internal and external consumption
  • Deliver Product Feedback: Work closely with Regal PMs and Engineers to give feedback on the Regal AI Agent Platform. As the primary user of the product, you’ll spot issues, product gaps, and new capabilities that will help you deliver better performing AI Agents faster – help inform these features!
  • Support Sales Demos: Work with the sales team to build AI Agent MVPs during the sales process to demo agent capabilities to prospects
ABOUT YOU:
  • Technical Chops: You’ve received a Bachelor’s or Master’s degree in a technical field (i.e. Computer Science, Engineering, Data Science) or have equivalent experience with prompt engineering.
  • Professional Work Experience: You have 1-2 year(s) of work or internship experience at start-up tech companies, or impressive personal/school projects that you can provide documentation for.
  • Demonstrated Curiosity for AI & Voice: You’re excited about the potential of Voice AI, and keep up with the latest products in the space. You’ve experimented with conversational design or prompt engineering for a school, work or personal project. 
  • Analytical Thinking & Problem Solving: You see beyond the immediate ask, being able to break down problems into their component parts and tackle them iteratively. The ideal candidate likes to tinker and try new approaches, borrowing ideas from others and building from their own previous experiences
  • Time Management Skills: You know how to prioritize among competing tasks (or ask for help when needed), manage deadlines, and proactively keep your team & other stakeholders in the loop.
  • Relentless Ownership: You own accountability for the success of your work, making smart trade-offs, iterating quickly, and doing whatever it takes to ship on time. “Not my problem” isn’t in your vocabulary.
  • Entrepreneurial DNA: You’re considering being a founder one day. You thrive in fast-paced, ambiguous environments and absorb everything. Adaptability and growth mindset are qualities that help you navigate change and complexity with ease.
AI Product Specialist vs. AI Forward Deployed Engineer - What's the Difference?
  • The AI Product Specialist is more internal-facing, part of a centralized team using the Regal AI Agent Platform to build and test AI agents, codifying best practices and processes for AI Agent development and QA testing, and giving feedback to our product and engineering teams on how the platform needs to evolve (as well as building demos for the sales and marketing teams and working on internal projects). AI Product Specialists have a technical degree, but only 0-2 years of previous experience. 
  • The AI Forward Deployed Engineer is more customer-facing, owning the launch and overall success of each AI Agent deployment and customer relationship, ensuring AI Agents can successfully integrate into the customer’s existing systems and workflows and achieve their business goals (as well as growing revenue by identifying more use cases and opportunities for AI Agents). AI Forward Deployed Engineers have 3+ years in a technical customer-facing role (e.g., Solutions Engineer, Implementation Consultant) or have PM experience in a tech environment.
BENEFITS/PERKS:
  • We care about your health! 
  • Medical, Dental, and Vision plans - 80% covered by the company
  • Flexible PTO & 11 paid holidays/year 
  • We care about future you!
  • 401k Plan
  • Paid parental leave
  • Pre-tax commuter benefits 
  • We care about connection!
  • In-office breakfast and snacks daily
  • Happy hours, team outings, & annual off-sites
  • Complete laptop workstation 
  • & more to come!
The reasonably estimated base salary for this role is provided as a range within this job description. All offers include a competitive equity package and some offers may additionally include a variable compensation component. Actual compensation is determined on an individualized basis taking into consideration factors such as the candidate's skills, location, qualifications, experience, and relevant education or training. In addition, Regal offers a comprehensive set of employee benefits which are listed above. Details about the compensation package will be finalized at the time of offer.

POSITION LOCATION & OFFICE DETAILS:

This position is only available in New York City (HQ- NoMad). Hybrid roles are required in office T/W/TH and encouraged 5x/week.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.