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Ai Prompt Engineer Jobs in California (NOW HIRING)

... Prompt Engineering, and using AI for complex automated data analysis Program management experience with multi-team coordination and dependency management Strong leadership skills with ability to ...

AI/ML Engineer - Remote

San Jose, CA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

AI/ML Engineer - Remote

Palo Alto, CA · Remote

$200 - $350/hr

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications. Key Responsibilities * Design, implement, and ...

Senior Prompt Engineering Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

... Engineer who will own the full lifecycle of intelligent workflow design. This includes prompt ... What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at ...

Senior Prompt Engineering Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... Engineer who will own the full lifecycle of intelligent workflow design. This includes prompt ... What we're looking for - 4+ years of experience shipping ML/AI or applied NLP systems, with at ...

Senior Data Analyst - OS Stability

San Diego, CA · On-site

$91K - $115K/yr

... AI prompt engineering Proficiency in Python, SQL and data visualization tools such as Tableau for advanced analytics and compelling data presentation Preferred Qualifications Experience with ...

... prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development. • Learn quickly and proactively when it comes to new technologies in the AI space as well ...

... engineering and business audiences. What You Can Expect * Administer and operate the AI security ... Deploy and operate runtime protection capabilities, blocking prompt injection, data leakage ...

... prompt engineering, Retrieval-Augmented Generation (RAG), multi-agent architectures, and workflow orchestration. • Adopt AI-augmented software development practices and utilize AI coding assistants ...

New

Hands-on experience with LangGraph, LangChain, Large Language Models (LLMs), and prompt engineering. * Experience architecting, designing, and deploying enterprise-grade AI applications. * Strong ...

Senior AI Engineer

San Francisco, CA · On-site

$180 - $280/hr

Develop and deploy LLM‑powered applications using RAG, fine‑tuning, prompt engineering, function calling, and tool use. * Implement guardrails, evaluation frameworks, and responsible AI controls ...

Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios. * Build and improve AI agent systems with ...

Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios. Build and improve AI agent systems with ...

Showing results 21-40

Ai Prompt Engineer information

See California salary details

$25

$52

$75

How much do ai prompt engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ai prompt engineer in California is $52.93, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $61.44 per hour, depending on experience, location, and employer.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

How do I become an AI prompt engineer?

To become an AI prompt engineer, 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. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

What is the job of an AI Prompt Engineer?

An AI Prompt Engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like natural language processing to ensure accurate and relevant outputs, often working with machine learning frameworks and data annotation techniques.

What are the most commonly searched types of Ai Prompt Engineer jobs in California?

The most popular types of Ai Prompt Engineer jobs in California are:

What cities in California are hiring for Ai Prompt Engineer jobs?

Cities in California with the most Ai Prompt Engineer job openings:

Infographic showing various Ai Prompt Engineer job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $110,091 per year, or $52.9 per hour.

Senior / Prompt Engineer (AI/ML), Brand Concierge

Adobe, Inc.

San Jose, CA • On-site

$122K - $168K/yr

Full-time

Re-posted 28 days ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

38th of 247 rated software companies


Job description

The Opportunity
We are seeking a creative and technically skilled Prompt Engineer to enhance large language model (LLM) performance across business-critical workflows. This position centers on designing, testing, and integrating strategies that drive intelligent agents and enterprise use cases. You will work closely with AI engineers, product teams, and domain experts to guarantee scalable, safe, and high-accuracy AI applications.
What you'll Do
Prompt Strategy & Design
  • Develop templates and multi-step chains tailored to specific business functions (e.g., sales enablement, support, knowledge management)
  • Develop few-shot, zero-shot, and hybrid patterns for enhanced reasoning and context retention
  • Maintain libraries for reuse and version control

Function Calling & Tool Use
  • Implement LLM function calling to trigger APIs, databases, or internal tools
  • Build tool-use pipelines within agent workflows for complex task automation

Conversation Flow & Persona Design
  • Define and build agent personas, roles, and behaviors for domain-specific applications
  • Manage multi-turn conversations, memory handling, and contextual continuity

Enterprise-grade Optimization
  • Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance
  • Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks

Testing & Evaluation
  • Tailor prompts for performance in enterprise environments, prioritizing accuracy, privacy, fairness, and compliance
  • Collaborate with legal and security teams to mitigate hallucination, bias, and misuse risks

Deployment & Integration
  • Partner with AI Agent Engineers to integrate prompts into agent workflows and orchestration pipelines
  • Maintain documentation and workflows for deployment in production environments

What you need to succeed
  • 3+ years of experience in NLP, AI/ML product development, or application scripting
  • Strong grasp of LLM capabilities and limitations (e.g., OpenAI, Claude, Mistral, Cohere)
  • Experience crafting prompts and evaluation methods for enterprise tasks
  • Familiarity with frameworks like LangChain, Semantic Kernel, or AutoGen
  • Strong ML, Python and API integration skills
  • Excellent written communication and structured thinking

Preferred Qualifications
  • Experience with LLM function calling, custom tool integration, and agent workflows
  • Background in UX writing, human-computer interaction, or instructional design
  • Understanding of enterprise compliance (e.g., SOC 2, GDPR) in AI systems
  • Bachelor's or equivalent experience in Computer Science, Computational Linguistics, Cognitive Science, or a related field

About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let's Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.
Expected Pay Range:
Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this position is $172,500 -- $306,625 annually. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.
In California, the pay range for this position is $211,800 - $306,625
At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).
In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
State-Specific Notices:
California:
Fair Chance Ordinances
Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.
Colorado:
Application Window Notice
There is no deadline to apply to this job posting because Adobe accepts applications for this role on an ongoing basis. The posting will remain open based on hiring needs and position availability.
Massachusetts:
Massachusetts Legal Notice
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982