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Google Prompt Engineer Jobs (NOW HIRING)

CCaaS Google Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

C. is seeking a skilled professional for the role of CCaaS Google Data Engineer. This position ... prompt engineering, and TensorFlow into production systems. • Understanding of model lifecycle ...

New

Strong programming skills in Python Experience with LLM APIs (OpenAI, Anthropic Claude, Google Gemini) Knowledge of prompt engineering and chain-of-thought reasoning Familiarity with LangChain ...

Software Engineer III, Search AI Mode

Mountain View, CA · On-site

$67.75 - $91.25/hr

... prompt engineering, model quality evaluations, model training, debugging, ML infrastructure ... About the job Google's software engineers develop the next-generation technologies that change how ...

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Google Prompt Engineer information

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$26

$51

$79

How much do google prompt engineer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for google prompt engineer in the United States is $51.35, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $58.65 per hour, depending on experience, location, and employer.

How does a Google Prompt Engineer typically collaborate with product and engineering teams to refine AI-driven user interactions?

As a Google Prompt Engineer, a significant part of your role involves working closely with product managers, UX designers, and software engineers to optimize how AI systems interact with users. You'll participate in cross-functional meetings to understand user needs, test prompt effectiveness, and iterate on conversational flows. Collaboration is key, as you'll frequently review data and feedback together, making adjustments to prompts to improve clarity, accuracy, and user satisfaction. This teamwork ensures that AI-driven features align with both technical capabilities and user expectations.

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

To thrive as a Google Prompt Engineer, you need a strong background in computer science, natural language processing (NLP), and prompt engineering, typically supported by a relevant degree or equivalent experience. Familiarity with AI/ML tools like TensorFlow, Python programming, and large language model APIs is essential, along with experience using prompt design platforms. Creativity, analytical thinking, and effective collaboration skills help distinguish top performers in this field. These skills ensure you can design, test, and optimize prompts that enhance AI model outputs, driving innovation and reliable results in AI applications.

Are prompt engineers still in demand?

Prompt engineers, who design and optimize prompts for AI language models, are increasingly in demand as AI adoption grows across industries. Their skills in understanding AI behavior, natural language processing, and prompt engineering tools make them valuable for developing effective AI applications and improving model performance.

What is a Google Prompt Engineer?

A Google Prompt Engineer is a professional who specializes in designing, testing, and optimizing prompts for large language models and AI systems developed or used by Google. Their role involves crafting effective instructions and queries to elicit accurate, context-aware, and useful responses from AI models. They often collaborate with researchers, developers, and product teams to improve user interactions with AI-powered tools and ensure the technology meets specific business or user needs. Prompt Engineers also analyze prompt performance, troubleshoot issues, and implement improvements for better results.

Which 3 jobs will survive AI?

For a Google Prompt Engineer, jobs that require complex problem-solving, creativity, and emotional intelligence are more likely to survive AI automation. Roles such as software developers, data scientists, and user experience designers involve skills that are difficult for AI to fully replicate. Continuous learning and adapting to new tools like machine learning frameworks can help maintain job relevance.

Are prompt engineers well paid?

Prompt engineers, especially those working with AI and machine learning models, tend to have competitive salaries due to the specialized skills required in designing effective prompts and understanding AI behavior. Compensation varies based on experience, location, and industry, but generally aligns with other roles in AI development and data science, often including benefits and opportunities for advancement.

What engineers make 500,000?

Senior engineers in high-demand fields such as software, data engineering, and specialized technical roles can earn $500,000 or more annually, especially with experience, advanced skills, and in competitive industries. These roles often require expertise in programming, system design, or leadership, and may include bonuses or stock options that contribute to total compensation.

What is the difference between Google Prompt Engineer vs Chatbot Developer?

AspectGoogle Prompt EngineerChatbot Developer
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and prompt engineeringBachelor's in CS, Software Engineering, or related; experience with chatbot platforms and scripting
Work EnvironmentTech companies, AI research labs, product teams focusing on language modelsCustomer service, tech firms, startups developing conversational agents
Industry UsagePrimarily in AI and NLP product developmentAcross customer support, marketing, and entertainment sectors
Common Search/ComparisonYesYes

Google Prompt Engineers focus on designing and optimizing prompts for AI language models like Google's PaLM or Bard, emphasizing prompt structure and effectiveness. Chatbot Developers build and maintain conversational agents, integrating AI models into user-facing applications. While both roles involve NLP and AI, Prompt Engineers specialize in prompt crafting, whereas Chatbot Developers focus on chatbot functionality and user experience.

Infographic showing various Google Prompt Engineer job openings in the United States as of June 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $106,799 per year, or $51.3 per hour.

Software Engineer, Generative AI, Geo Consumer

Google

Mountain View, CA • On-site

Full-time

Posted 12 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 94 frontline employees who took The Breakroom Quiz

32nd of 191 rated software companies


Job description

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 2 years of experience building and deploying generative model applications, including techniques such as prompt engineering, prompt rewriting/tuning, and post-training evaluation.
  • 2 years of experience with backend and server-side programming.
  • Experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:
  • Master's degree or PhD in Computer Science or related technical fields.
  • 2 years of experience with data structures and algorithms.
  • Experience developing accessible technologies.
  • Experience in developing user-facing products.

About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Write product or system development code.
  • Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
  • Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
  • Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
  • Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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