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Full Time Prompt Engineering Jobs (NOW HIRING)

Pearson

Senior Software Engineer

Hoboken, NJ · On-site

$130K - $150K/yr

Strong prompt engineering skills and understanding of LLM behavior optimization. * Experience ... The full-time salary range is between $130,000 - $150,000 This position is eligible to participate ...

Pika

Senior Software Engineer, Agent

Palo Alto, CA · On-site

$185K - $300K/yr

Engineering | Location: Palo Alto HQ | Type: Full-time, On-site/Hybrid About the Role We're looking ... prompt engineering, context window management, multi-provider model routing (Claude, GPT, Gemini ...

CGI Inc.

Agentic AI Engineer

New Brunswick, NJ · On-site

J0526-2522 Employment Type: Full Time U.S. - What we do matters By playing this video you consent ... The ideal candidate will have strong expertise in prompt engineering, agent orchestration, and AI ...

Atonom

AI Data Engineer

Provo, UT · On-site

$109K - $131K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how ...

Atonom

AI Data Engineer

Provo, UT · On-site

Salary: $50,000 to $90,000 AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site ... Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how ...

Pearson Education

Staff Software Engineer - AI

Hoboken, NJ · On-site

$150K - $180K/yr

Apply advanced prompt engineering techniques to improve learning personalization and response ... The full-time salary range for this role is between $150,000 - $180,000 This position is eligible ...

Atonom

AI Data Engineer

Provo, UT · On-site

$50K - $90K/yr

AI Data Engineer Customer Experience | Provo, UT | Full-Time | On-Site | $50,000 - $90,000 ... Interested in LLMs and prompt engineering. You don't need to be an expert, but you've explored how ...

Pearson

Staff Software Engineer - AI

Hoboken, NJ · Hybrid

$150K - $180K/yr

Apply advanced prompt engineering techniques to improve learning personalization and response ... The full-time salary range for this role is between $150,000 - $180,000 This position is eligible ...

Ascend

Solutions Engineer

San Francisco, CA · On-site

$45/hr

Build, test, and refine prompts that power AI agents using prompt engineering and analytical ... Type: Contract to hire as a full time software engineer (6 months) Benefits do not apply until ...

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All JobsPrompt Engineering JobsFull Time Prompt Engineering Jobs

Full Time Prompt Engineering information

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$46.5K

$146.9K

$174K

How much do full time prompt engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for full time prompt engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized technical roles can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at senior or executive levels.

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. Skills in natural language processing, machine learning, and familiarity with AI tools are valuable for these roles, which are often found in AI development and research environments.

What is the difference between Full Time Prompt Engineering vs Data Scientist?

AspectFull Time Prompt EngineeringData Scientist
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI toolsBachelor's/Master's in CS, Statistics, or related; experience with data analysis and modeling
Work EnvironmentTech companies, AI startups, remote or office-basedResearch labs, tech firms, finance, healthcare; often office-based or remote
Industry UsageAI development, NLP projects, chatbot designData analysis, predictive modeling, business insights
Common Search/ComparisonYesYes

Full Time Prompt Engineering focuses on designing and optimizing prompts for AI models, primarily in NLP tasks. Data Scientists analyze data to build models and generate insights. While both roles require technical skills and often overlap in AI projects, Prompt Engineers specialize in prompt design, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Full Time Prompt Engineer, and why are they important?

To thrive as a Full Time Prompt Engineer, you need a solid background in computer science, natural language processing, and machine learning, often supported by a relevant degree or experience with AI models. Familiarity with tools like Python, large language model APIs (such as OpenAI or Anthropic), and prompt optimization frameworks is typically required. Strong analytical thinking, creativity, and clear written communication are crucial soft skills for designing effective prompts and collaborating with multidisciplinary teams. These skills ensure the development of high-performing AI solutions and the ability to translate user needs into actionable, efficient prompts.

What are some common challenges faced by Full Time Prompt Engineers, and how can they overcome them?

Full Time Prompt Engineers often encounter the challenge of crafting prompts that consistently yield accurate, relevant, and unbiased responses from AI models. Adapting to rapidly evolving AI technologies and understanding nuanced model behaviors can also be demanding. Overcoming these challenges requires staying current with the latest AI developments, collaborating closely with data scientists and developers, and continuously testing and refining prompts based on feedback and performance metrics. Embracing a mindset of experimentation and regular communication within cross-functional teams is key to success in this dynamic field.

What is prompt engineering?

Prompt engineering is the practice of designing, testing, and refining the inputs (prompts) given to artificial intelligence models, such as large language models, to achieve specific and desirable outputs. This role involves understanding how AI models interpret language and using that knowledge to create prompts that guide the model toward accurate, relevant, or creative responses. Prompt engineers often work closely with developers, data scientists, and product teams to optimize AI performance for various applications. As AI models become more advanced, prompt engineering has become an essential skill for leveraging their full potential.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in data science, programming, and AI frameworks. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms with competitive compensation packages. Such salaries are rare and generally reflect seniority, expertise, and significant contributions to AI development.

What job makes $10,000 a month without a degree?

Full Time Prompt Engineering is a role that can potentially earn $10,000 or more per month, especially for those with strong skills in AI, machine learning, and prompt design. Success in this field depends on expertise, portfolio, and the ability to deliver high-quality work, often in freelance or contract settings without requiring a formal degree.
More about Full Time Prompt Engineering jobs
What cities are hiring for Full Time Prompt Engineering jobs? Cities with the most Full Time 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 Full Time Prompt Engineering jobs? States with the most job openings for Full Time Prompt Engineering jobs include:
What job categories do people searching Full Time Prompt Engineering jobs look for? The top searched job categories for Full Time Prompt Engineering jobs are:
Full Time Prompt Engineering jobs near you
Infographic showing various Full Time Prompt Engineering job openings in the United States as of June 2026, with employment types broken down into 14% As Needed, 43% Full Time, 14% Part Time, and 29% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Senior Software Engineer

Pearson

Hoboken, NJ • On-site

$130K - $150K/yr

Full-time

Posted 11 days ago

Job description

Senior Software Engineer - AI/Agentic Systems

Pearson Learning Studio (PLS) - Guided Study | Hoboken, NJ

Pearson Learning Studio is seeking a Senior Software Engineer to join the REIA squad within the PLS team to help design and build next-generation AI-powered learning experiences using Agentic AI frameworks and LLM-based architectures.

This role is focused on developing intelligent, scalable AI systems with strong emphasis on Agentic workflows, LangGraph-based orchestration, state management, prompt engineering, and Retrieval-Augmented Generation (RAG). The ideal candidate will have deep experience building AI-driven applications using Python and modern AI orchestration frameworks.

Key Responsibilities

AI & Agentic System Development

  • Design and implement Agentic AI workflows using frameworks such as LangGraph and LangChain.
  • Develop and manage multi-step AI orchestration pipelines with robust state management.
  • Integrate and optimize Large Language Models (LLMs) for intelligent learning experiences.
  • Design and implement RAG pipelines using embeddings and vector databases.
  • Create, evaluate, and optimize prompts to improve response quality, reasoning, and reliability.
  • Build scalable AI services and APIs using Python.

Platform & Engineering

  • Develop production-grade backend services and AI integration layers.
  • Contribute to scalable system architecture, observability, and performance optimization.
  • Collaborate with engineering and product teams to translate business requirements into AI-driven solutions.
  • Troubleshoot and resolve production issues with ownership and urgency.

Agile Collaboration & Technical Leadership

  • Participate actively in Agile/Scrum ceremonies and technical planning sessions.
  • Contribute to architecture reviews, technical design discussions, and engineering best practices.
  • Mentor junior engineers and support team-wide technical growth.

Required Qualifications

  • 6-8 years of software engineering experience.
  • Strong hands-on experience with Python development.
  • Experience building AI/LLM-powered applications in production environments.
  • Hands-on experience with LangGraph, LangChain, or similar AI orchestration frameworks.
  • Strong understanding of Agentic AI concepts, workflow orchestration, and state management.
  • Experience implementing RAG pipelines, embeddings, and vector databases.
  • Strong prompt engineering skills and understanding of LLM behavior optimization.
  • Experience building scalable APIs and distributed systems.
  • Strong analytical, debugging, and problem-solving skills.
  • Excellent collaboration and communication skills.
  • Bachelor's degree in Computer Science, Engineering, or related field.
     

Preferred Qualifications

  • Experience with OpenAI, Anthropic, or other enterprise LLM platforms.
  • Familiarity with AI observability, evaluation frameworks, and guardrails.
  • Exposure to AWS, Azure, or GCP cloud platforms.
  • Experience in EdTech or content-driven platforms.
  • Experience working within Agile product delivery teams.

Applications will be accepted through June 1. This window may be extended depending on business needs. 

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:   

The full-time salary range is between $130,000 - $150,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here.

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