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Prompt Engineering Jobs in California (NOW HIRING)

Asana

AI Prompt & Workflow Designer

San Francisco, CA · On-site

The AI Prompt & Workflow Designer is the strategic architect and hands-on lead responsible for the ... Partner closely with Customer Experience SMEs, Enterprise Technology, Product, and Engineering ...

SolGenie

AI Architect

Torrance, CA · On-site

GenAI Architect / AI Architect (LLM, Prompt Engineering, RAG, AWS/Azure) Location: Torrance, CA (Onsite) Duration: 6+ Months Consultants local to CA preferred Job Summary We are looking for a hands ...

Diverse Lynx

Senior AI ML Engineer

Los Angeles, CA

$112K - $154K/yr

The role focuses heavily on LLM-based applications, including prompt engineering, document processing pipelines, and embedding-based search solutions. The engineer will work with both structured and ...

Diverse Lynx

ML/AI Engineer

Burbank, CA

... Prompt engineering optimization for large language models • Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data • Embedding ...

Ascend

Solutions Engineer

San Francisco, CA

$45/hr

Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving. * Design systems that enable scalable, high-accuracy iteration on prompt workflows.

Kanshe Infotech

Senior AI/ML Engineer

Los Angeles, CA · On-site

$112K - $154K/yr

Build and optimize RAG, vector embedding, prompt engineering, and context engineering solutions * Deploy and manage AI workloads on Azure Cloud * Develop cloud-native applications using Azure ...

Del Oro Consulting

Software Engineer

San Francisco, CA · Remote

$55 - $58/hr

The ideal candidate has hands-on experience in Go, machine learning, prompt engineering, and SQL. This is a great opportunity for a developer who is passionate about AI and eager to contribute to a ...

Broadcom

Staff Applications Engineer

San Jose, CA · On-site

... and prompt engineering. • Lead meetings with other AEs to solicit feedback and facilitate sharing of enhanced support workflows and AI-enhanced use cases. Qualifications : Required : • BS in ...

Yochana

Gen AI SW Tooling Engineer

Cupertino, CA

... Engineering, UI/UX, APIs, CICD pipelines, knowledge of how Gen AI models work, prompt engg or LLM application development GenAI Software Tooling Engineer Requirements: Minimum Qualifications • BS ...

Del Oro Consulting

Software Engineer

San Francisco, CA · On-site +1

$55 - $58/hr

The ideal candidate has hands-on experience in Go, machine learning, prompt engineering, and SQL. This is a great opportunity for a developer who is passionate about AI and eager to contribute to a ...

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Prompt Engineering information

See California salary details

$32.1K

$62.2K

$94.2K

How much do prompt engineering jobs pay per year?

As of Jun 16, 2026, the average yearly pay for prompt engineering in California is $62,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,100.00 per year, depending on experience, location, and employer.

What is a Prompt Engineering job?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What jobs pay $2000 a day?

In the field of prompt engineering, high-paying roles such as AI consultant or senior AI specialist can potentially earn $2000 or more per day, especially for freelancers or contractors with specialized skills in large language models and prompt design. These positions often require extensive experience, advanced knowledge of AI tools, and a strong portfolio of successful projects.

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

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of natural language processing.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or large organizations.

What are the most common challenges faced by Prompt Engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Which 3 jobs will survive AI?

Prompt engineering is a specialized role that involves designing effective prompts for AI systems, and it is expected to remain relevant as AI advances. Jobs requiring complex human judgment, creativity, and emotional intelligence—such as healthcare professionals, educators, and mental health counselors—are also likely to persist because they involve skills that AI cannot easily replicate. Additionally, roles in AI oversight, ethics, and policy development will continue to be important to ensure responsible AI use.
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What job categories do people searching Prompt Engineering jobs in California look for? The top searched job categories for Prompt Engineering jobs in California are:
What cities in California are hiring for Prompt Engineering jobs? Cities in California with the most Prompt Engineering job openings:
Prompt Engineering jobs near you

AI Backend Engineer

Prophecy Technologies

Rosemead, CA

Other

Posted 5 days ago

Job description

Role Overview:
This role is for an AI Backend Engineer, also described as a Python Full Stack Developer, with strong Python and AI/ML fundamentals. The position focuses on hands-on experience in prompt engineering, integrating pretrained/foundation models into enterprise applications, and deploying AI solutions using CI/CD. The engineer will be versatile in constructing AI pipelines using tools like LangChain, LlamaIndex, and AutoRAG, with an emphasis on model optimization through Optuna and GridSearchCV.
Key Responsibilities:
  • Implement Python microservices and APIs (FastAPI/Flask/Django) with clean contracts, versioning, pagination, and rate limiting.
  • Build REST/GraphQL endpoints and internal SDKs to enable AI enhanced features (prompt routing, retrieval, redaction) while maintaining strict separation from model ownership.
  • Implement asynchronous and event driven processing (e.g., Celery/Kafka/queues) for high throughput pipelines and background jobs.
  • Integrate services with enterprise AI platforms / LLM APIs (e.g., Azure OpenAI via enterprise gateway), handling prompt orchestration, tool invocation, moderation hooks, and response validation.
  • Enforce runtime guardrails: input sanitization, PII redaction, toxicity/NSFW filters, output signing, and fallbacks.
  • Implement semantic retrieval and vector search via approved platforms; do not train or host custom models.
Required Skills:
  • Strong Python and AI/ML fundamentals.
  • Hands-on experience in prompt engineering.
  • Experience integrating pretrained/foundation models into enterprise applications.
  • Proficiency in deploying AI solutions using CI/CD.
  • Versatility in constructing AI pipelines using LangChain, LlamaIndex, and AutoRAG.
  • Experience with model optimization through Optuna and GridSearchCV.
  • Familiarity with Python microservices and APIs (FastAPI/Flask/Django).
  • Knowledge of REST/GraphQL endpoints and internal SDKs.
  • Experience with asynchronous and event-driven processing (e.g., Celery/Kafka/queues).
  • Ability to integrate with enterprise AI platforms / LLM APIs (e.g., Azure OpenAI).
  • Understanding of prompt orchestration, tool invocation, moderation hooks, and response validation.
  • Capability to implement runtime guardrails including input sanitization, PII redaction, toxicity/NSFW filters, output signing, and fallbacks.
  • Experience with semantic retrieval and vector search.
Qualifications:
  • No specific years of experience mentioned.

Preferred Skills:

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