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Google Prompt Engineer Jobs (NOW HIRING)

Appian Corporation

AI Prompt Engineer

Mclean, VA

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You ... Serve as the resident expert on Google Gemini, Amazon Kiro, and what's on the horizon for AI ...

Appian Corporation

AI Prompt Engineer

Mclean, VA · On-site

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You ... Serve as the resident expert on Google Gemini, Amazon Kiro, and what's on the horizon for AI ...

Appian Corporation

AI Prompt Engineer

Mclean, VA

$225K/yr

We are seeking an AI Prompt Engineer to be the builder behind our "AI-First" transformation. You ... Serve as the resident expert on Google Gemini, Amazon Kiro, and what's on the horizon for AI ...

Addison Group

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Implement prompt engineering, RAG pipelines, model tuning, and MLOps best practices. * Build and ...

Addison Group

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Implement prompt engineering, RAG pipelines, model tuning, and MLOps best practices. * Build and ...

New

Addison Group

AI.ML Engineer (Google)

San Antonio, TX · On-site

$125K/yr

ML Engineer (Google) Compensation: $125000 / Year Benefits: Medical insurance, Vision insurance ... Implement prompt engineering, RAG pipelines, model tuning, and MLOps best practices. * Build and ...

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless ... Kore.AI, Google Dialog Flow, Amelia, Yellow.AI * Familiarity with popular conversational AI ...

Photon

Gen AI Engineer -McKinney, TX

Dallas, TX · On-site

Integrate prompt designs into natural language processing (NLP) models. * Ensure seamless ... Kore.AI, Google Dialog Flow, Amelia, Yellow.AI * Familiarity with popular conversational AI ...

Kaleris

Sr AI Developer

Alpharetta, GA

$53.25 - $70.25/hr

Hands-on work with LLMs (OpenAI, Anthropic, Google), prompt engineering, RAG, embeddings, and AI agent frameworks * Enterprise integration expertise: Track record integrating with platforms like ...

Kaleris

Sr AI Developer

Alpharetta, GA · On-site

$53.25 - $70.25/hr

Hands-on work with LLMs (OpenAI, Anthropic, Google), prompt engineering, RAG, embeddings, and AI agent frameworks * Enterprise integration expertise: Track record integrating with platforms like ...

Centraprise Corp

Google Gemini AI Architect

Cleveland, OH

$61 - $80.25/hr

Job title: Google Gemini AI Architect Job Location: Cleveland, OH - Onsite (Travel: 25 - 30 ... Provide technical leadership to data scientists, prompt engineers, and AI developers. * Promote a ...

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Google Prompt Engineer information

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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.

Prompt Engineer

Tata Consultancy Service Limited

New York, NY • On-site

$110K - $125K/yr

Full-time

Posted 13 days ago

Job description

Must Have Technical/Functional Skills
We are looking for experienced Prompt Engineers with strong hands-on expertise in Large Language Models (LLMs) to design, optimize, and operationalize high quality prompts for enterprise-grade GenAI solutions. The role demands deep understanding of model behavior, prompt patterns, and real world deployment in regulated environments.
- 47+ years overall experience, with 23+ years hands-on Prompt Engineering / GenAI work
- Strong experience with LLMs (GPT 4 / GPT 4o / Gemini / Claude / LLaMA or equivalent)
- Hands-on knowledge of RAG frameworks, embeddings, vector databases, and semantic search
- Experience with Azure OpenAI / OpenAI APIs / Google Vertex AI / Hugging Face
- Strong NLP fundamentals and ability to interpret LLM behavior
- Programming experience in Python (FastAPI / Flask exposure preferred)
- Experience using LangChain / LlamaIndex or similar orchestration frameworks
- Strong analytical skills to evaluate and improve model output quality
Roles & Responsibilities
• Design, test, and optimize advanced prompts (zero-shot, few-shot, chain-of-thought, tool calling, RAG-based prompts) for LLM-driven applications
• Analyze model outputs and continuously refine prompts to ensure accuracy, consistency, and business relevance
• Collaborate with Data Scientists, ML Engineers, and Product teams to integrate prompts into end to end AI workflows
• Support RAG architectures by crafting effective prompts leveraging vector search, embeddings, and enterprise knowledge sources
• Implement guardrails, validation strategies, and hallucination mitigation techniques
• Fine tune prompt strategies based on domain-specific use cases (knowledge extraction, summarization, classification, Q&A, reasoning tasks)
• Document prompt patterns, best practices, and reusable templates for enterprise adoption
• Support client demos, POCs, and pilot rollouts of GenAI solutions
Salary Range: $110,000 to $125,000 per year

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