Build and optimize AI/ML solutions leveraging vector embeddings, prompt engineering, and context engineering techniques. Develop scalable backend services using Python, Java, and/or Go. Implement and ...
Build and optimize AI/ML solutions leveraging vector embeddings, prompt engineering, and context engineering techniques. Develop scalable backend services using Python, Java, and/or Go. Implement and ...
Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results
Brandeis, CA · Remote
$25 - $30/hr
As a grader, you'll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning. This role offers a unique opportunity to contribute to a cutting ...
Temporary Micro-Credential Grader - Industry-Focused Prompt Engineering for ROI-Driven Results
Brandeis, CA · Remote
$25 - $30/hr
As a grader, you'll apply structured rubrics to assess strategic thinking, prompt engineering fluency, and outcome-based reasoning. This role offers a unique opportunity to contribute to a cutting ...
Prompt engineering for LLM-based applications * Document Processing * Document extraction, parsing, and chunking * Handling structured & unstructured data * Embeddings & Vector Search * Embedding ...
Prompt engineering for LLM-based applications * Document Processing * Document extraction, parsing, and chunking * Handling structured & unstructured data * Embeddings & Vector Search * Embedding ...
Senior AI Engineer
Dublin, CA · On-site
$117K - $161K/yr
Prompt Engineering & Optimization * Design, develop, and optimize prompt strategies for large language models to ensure accuracy, consistency, and relevance in production use cases. * Implement ...
Senior AI Engineer
Dublin, CA · On-site
$117K - $161K/yr
Prompt Engineering & Optimization * Design, develop, and optimize prompt strategies for large language models to ensure accuracy, consistency, and relevance in production use cases. * Implement ...
Ai engineer
California City, CA · Hybrid
Strong experience in Generative AI / LLM systems (RAG, embeddings, prompt engineering) Experience with: Model evaluation frameworks and LLM observability tools, AI governance and compliance ...
New
Ai engineer
California City, CA · Hybrid
Strong experience in Generative AI / LLM systems (RAG, embeddings, prompt engineering) Experience with: Model evaluation frameworks and LLM observability tools, AI governance and compliance ...
New
Familiarity with prompt engineering and basic RAG preferred Responsibilities * Assist in chatbot development * Support prompt engineering and testing * Help build and test RAG pipelines * Contribute ...
Familiarity with prompt engineering and basic RAG preferred Responsibilities * Assist in chatbot development * Support prompt engineering and testing * Help build and test RAG pipelines * Contribute ...
Software Engineer
Santa Clara, CA · On-site
Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior. * Build secure backend ...
Software Engineer
Santa Clara, CA · On-site
Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior. * Build secure backend ...
Prompt engineering for LLM-based applications * Document Processing * Document extraction, parsing, and chunking * Handling structured & unstructured data * Embeddings & Vector Search * Embedding ...
Prompt engineering for LLM-based applications * Document Processing * Document extraction, parsing, and chunking * Handling structured & unstructured data * Embeddings & Vector Search * Embedding ...
AI and Data Engineer
Santa Clara, CA · On-site
$134K - $161K/yr
Maintain a comprehensive prompt library and documentation, ensuring prompt reusability and consistency across the platform. * Develop tools and frameworks to streamline the prompt engineering process ...
AI and Data Engineer
Santa Clara, CA · On-site
$134K - $161K/yr
Maintain a comprehensive prompt library and documentation, ensuring prompt reusability and consistency across the platform. * Develop tools and frameworks to streamline the prompt engineering process ...
Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior. * Build secure backend ...
Implement and refine Prompt Engineering strategies, including structured prompts, tool-calling, and agent orchestration to ensure reliable and deterministic AI behavior. * Build secure backend ...
AI and Data Engineer
Santa Clara, CA · On-site +1
$29/hr
Maintain a comprehensive prompt library and documentation, ensuring prompt reusability and consistency across the platform. * Develop tools and frameworks to streamline the prompt engineering process ...
AI and Data Engineer
Santa Clara, CA · On-site +1
$29/hr
Maintain a comprehensive prompt library and documentation, ensuring prompt reusability and consistency across the platform. * Develop tools and frameworks to streamline the prompt engineering process ...
... prompt engineering, MCP, and agent frameworks Use TypeScript/React on the frontend and Python services on the backend Own projects from prototype to production Collaborate closely with product ...
... prompt engineering, MCP, and agent frameworks Use TypeScript/React on the frontend and Python services on the backend Own projects from prototype to production Collaborate closely with product ...
... prompt engineering strategies to improve GenAI model outputs. • Integrate AI solutions with cloud platforms and enterprise systems. • Deploy and manage AI workloads using AWS, Docker, and DevOps ...
... prompt engineering strategies to improve GenAI model outputs. • Integrate AI solutions with cloud platforms and enterprise systems. • Deploy and manage AI workloads using AWS, Docker, and DevOps ...
Solutions Engineer
San Francisco, CA · On-site
$45/hr
Responsibilities Own and optimize prompt logic * Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving. * Design systems that enable scalable ...
Solutions Engineer
San Francisco, CA · On-site
$45/hr
Responsibilities Own and optimize prompt logic * Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving. * Design systems that enable scalable ...
Senior AI/ML Engineer
$109K - $150K/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 ...
Senior AI/ML Engineer
$109K - $150K/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 ...
AI Engineer (GenAI + Data Platform - AWS)
Irvine, CA · Hybrid
$122K - $147K/yr
Generative AI / LLM (RAG, embeddings, prompt engineering) * AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis) * Vector Search & Retrieval Systems (OpenSearch / vector DB) * Graph Databases ...
New
AI Engineer (GenAI + Data Platform - AWS)
Irvine, CA · Hybrid
$122K - $147K/yr
Generative AI / LLM (RAG, embeddings, prompt engineering) * AWS Cloud (OpenSearch, Neptune, DynamoDB, ElastiCache/Redis) * Vector Search & Retrieval Systems (OpenSearch / vector DB) * Graph Databases ...
New
Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact with LLMs (like GPT-4, Claude, etc.) for tasks like code generation and problem-solving. * Utilize ...
Learn Prompt Engineering: Assist the team in designing, testing, and refining prompts to interact with LLMs (like GPT-4, Claude, etc.) for tasks like code generation and problem-solving. * Utilize ...
Prompt Engineering & Agentic Workflows * Design advanced, multi-agent workflows that incorporate memory, dynamic context injection, and multi-step reasoning. * Experiment with and optimize agentic ...
Prompt Engineering & Agentic Workflows * Design advanced, multi-agent workflows that incorporate memory, dynamic context injection, and multi-step reasoning. * Experiment with and optimize agentic ...
... Prompt engineering optimization for large language models • Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data • Embedding ...
... Prompt engineering optimization for large language models • Document AI pipelines: OCR/extraction, parsing, normalization, and text chunking for structured & unstructured data • Embedding ...
AI/ML Engineer, Applied Data Science
Cupertino, CA · On-site
$141K - $169K/yr
Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding?.Can you build AI systems that are not just impressive demos, but reliable production tools?..The Applied Data ...
AI/ML Engineer, Applied Data Science
Cupertino, CA · On-site
$141K - $169K/yr
Do you enjoy the craft of prompt engineering, retrieval optimization, and grounding?.Can you build AI systems that are not just impressive demos, but reliable production tools?..The Applied Data ...
Prompt Engineer information
See California salary details
$9.96 - $16.95
7% of jobs
$16.95 - $23.94
13% of jobs
$23.94 - $30.93
3% of jobs
$31.68 is the 25th percentile. Wages below this are outliers.
$30.93 - $37.91
15% of jobs
The median wage is $43.04 / hr.
$37.91 - $44.90
16% of jobs
$44.90 - $51.89
3% of jobs
$57.96 is the 75th percentile. Wages above this are outliers.
$51.89 - $58.88
20% of jobs
$58.88 - $65.87
9% of jobs
$65.87 - $72.85
7% of jobs
$72.85 - $79.84
3% of jobs
$79.84 - $86.83
3% of jobs
$9
$46
$86
How much do prompt engineer jobs pay per hour?
As of Jun 11, 2026, the average hourly pay for prompt engineer in California is $46.47, according to ZipRecruiter salary data. Most workers in this role earn between $35.34 and $60.00 per hour, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive in the Prompt Engineer position, and why are they important?
To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.
What does a typical day look like for a Prompt Engineer?
A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.
What engineers make $500,000?
Senior software engineers, especially those in specialized fields like AI, machine learning, or cybersecurity, can earn $500,000 or more annually with bonuses and stock options. High compensation often requires extensive experience, advanced skills, and working in competitive tech companies or leadership roles.
What is a Prompt Engineer job?
A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.
Is prompt engineer still a thing?
Prompt engineering is an emerging role focused on designing effective prompts for AI language models. It is increasingly in demand as organizations seek to optimize AI interactions, often requiring skills in natural language processing and familiarity with AI tools. The role is expected to grow as AI adoption expands across industries.
What exactly is prompt engineer work?
A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance. Skills in programming, data analysis, and familiarity with AI tools are commonly needed.
Is prompt engineer salary?
Prompt engineers typically earn salaries comparable to other AI and machine learning specialists, with average annual pay ranging from $80,000 to $150,000 depending on experience, location, and industry. Skills in natural language processing, AI tools, and programming languages like Python can influence compensation. Entry-level positions may start lower, while experienced prompt engineers working in tech hubs tend to earn higher salaries.
What are the most commonly searched types of Prompt Engineer jobs in California? The most popular types of Prompt Engineer jobs in California are:
What are popular job titles related to Prompt Engineer jobs in California? For Prompt Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Prompt Engineer jobs in California look for? The top searched job categories for Prompt Engineer jobs in California are:
What cities in California are hiring for Prompt Engineer jobs? Cities in California with the most Prompt Engineer job openings:
Other
Posted 6 days ago
Job description
Role Summary
We are seeking an experienced Lead Agentic AI Engineer with 12+ years of overall experience and strong expertise in designing, developing, and deploying enterprise-scale Agentic AI solutions. The ideal candidate will have hands-on experience with Agentic Layer A2A frameworks, MCP Protocol, AI/ML engineering, vector embeddings, prompt engineering, and Azure cloud-native architectures. The role involves building scalable AI agents, orchestrating multi-agent systems, and delivering high-performance AI solutions on Azure.
Key Responsibilities
Design and develop enterprise-grade Agentic AI and multi-agent solutions using A2A frameworks and MCP Protocol.
Build and optimize AI/ML solutions leveraging vector embeddings, prompt engineering, and context engineering techniques.
Develop scalable backend services using Python, Java, and/or Go.
Implement and manage AI applications on Azure Cloud, including Azure Functions and Azure Container Apps.
Design and integrate data solutions using Azure AI Search, Redis, Cosmos DB, and related storage services.
Architect cloud-native, scalable, secure, and high-performance AI platforms.
Collaborate with cross-functional teams to deliver AI-driven business solutions.
Ensure solution reliability, performance optimization, monitoring, and operational excellence.
Follow best practices for software engineering, DevOps, and MLOps.
Required Skills
years of overall IT experience.
Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol.
AI/ML Engineering, including:
Vector Embeddings
Prompt Engineering
Context Engineering
6+ years of programming experience in at least two of:
Python
Java
Go
Strong experience deploying and managing solutions on Microsoft Azure.
Experience with:
Azure AI Search
Redis
Cosmos DB
Azure Blob Storage (preferred)
Apache Iceberg (preferred)
Expertise in:
Azure Functions
Azure Container Apps
Cloud-native architecture
Scalability and performance optimization
Strong understanding of distributed systems, microservices, and API integrations.
Preferred Qualifications
Experience with Generative AI, LLMs, RAG, and AI Agent architectures.
Healthcare domain experience is a plus.
Experience with MLOps, CI/CD pipelines, and containerization technologies.
Good to Have
Healthcare industry experience.
Exposure to enterprise AI governance, security, and compliance frameworks.