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Prompt Engineer Jobs in Oxnard, CA (NOW HIRING)

Lorven Technologies

Senior AI/ML Engineer

Calabasas, CA · On-site

$110K - $151K/yr

Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs. * GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and ...

True Classic

AI Engineer

Calabasas, CA · On-site

Meta, Google, TikTok, Klaviyo, Triple Whale, Shopify • Experience with prompt engineering best practices for AI-driven workflows • Track record deploying scalable AI solutions in production ...

True Classic

AI Engineer

Calabasas, CA

$75K - $85K/yr

Experience with prompt engineering best practices for AI-driven workflows * Track record deploying scalable AI solutions in production environments Workplace Arrangment On-site (5x week in our ...

True Classic

AI Engineer

Calabasas, CA · On-site

$75K - $85K/yr

Experience with prompt engineering best practices for AI-driven workflows * Track record deploying scalable AI solutions in production environments Workplace Arrangment On-site (5x week in our ...

Artera

Solutions Engineer

Santa Barbara, CA

Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Claude CLI, Claude, Retrieval-Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework.

Artera

Solutions Engineer

Santa Barbara, CA

$100K - $117K/yr

Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Claude CLI, Claude, Retrieval-Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework.

Artera

Solutions Engineer

Santa Barbara, CA · On-site

Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Claude CLI, Claude, Retrieval-Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework.

Artera

Senior Solutions Engineer

Santa Barbara, CA · Remote

$120K - $134K/yr

Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Claude CLI, Claude, Retrieval-Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework.

Artera

Senior Solutions Engineer

Santa Barbara, CA

$61.50 - $79.25/hr

Firm grasp of Agentic AI paradigms, including token limits, prompt engineering, Claude CLI, Claude, Retrieval-Augmented Generation (RAG) data pipelines, and the Model Context Protocol (MCP) framework.

Amgen

Principal Software Engineer

Thousand Oaks, CA

$141K - $190K/yr

PrincipalSoftware Engineer What you will do Let's do this. Let's change the world. In this vital ... Drive experimentation strategy, including A/B testing, prompt optimization, and iterative ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Oxnard, CA

Prompt Engineer information

See Oxnard, CA salary details

$10

$49

$93

How much do prompt engineer jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for prompt engineer in Oxnard, CA is $49.86, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $64.42 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 engineer makes $500,000 a year?

Senior software engineers, especially those working in high-demand fields like AI, machine learning, or at major tech companies, can earn $500,000 or more annually through base salary, bonuses, and stock options. Achieving this level typically requires extensive experience, specialized skills, and often leadership roles or equity compensation.

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 tools like GPT. The role continues to grow alongside advancements in AI technology.

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, prompt design, and familiarity with AI tools like GPT are highly valued and can influence compensation.
What are the most commonly searched types of Prompt Engineer jobs in Oxnard, CA? The most popular types of Prompt Engineer jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Prompt Engineer jobs? Cities near Oxnard, CA with the most Prompt Engineer job openings:
Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Oxnard, CA as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $103,716 per year, or $49.9 per hour.

Senior AI/ML Engineer - GenAI & Cloud Solutions

Futran Tech Solutions Pvt. Ltd.

Calabasas, CA • On-site

$58.25 - $75.25/hr

Full-time

Posted 13 days ago

Job description

Role: Senior AI/ML Engineer - GenAI & Cloud Solutions
Location: Woodland hills, CA (onsite Role )
Key Responsibilities
  • Architect and Design: Lead the design of scalable, secure, and high-performance AI/ML systems leveraging Agentic Layer A2A frameworks and MCP Protocols.
  • Solution Engineering: Drive end-to-end solution development including vector embeddings, prompt engineering, and context engineering for enterprise-grade GenAI applications.
  • Cloud Deployment: Architect and oversee deployment of AI/ML workloads on Azure Cloud, ensuring compliance, scalability, and cost optimization.
  • Data Architecture: Design and optimize data pipelines and storage solutions using Azure AI Search, Redis, Cosmos DB, Blob Storage, and Iceberg.
  • Application Development: Build and manage Azure Functions and Azure Container Apps for microservices-based AI solutions.
  • Performance & Scalability: Define cloud-native architecture patterns, implement performance tuning, and ensure resilience across distributed systems.
  • Domain Expertise: Apply deep knowledge of healthcare domain requirements, ensuring solutions meet regulatory standards (HIPAA, GDPR, etc.) and handle sensitive data securely.
  • Technical Leadership: Mentor engineering teams, establish best practices, and conduct design/code reviews.
  • Innovation & Research: Stay ahead of emerging GenAI, LLM/NLM trends, and integrate cutting-edge approaches into enterprise solutions.

Required Skills & Expertise
  • Agentic Layer & Protocols: Hands-on expertise with Agentic Layer A2A frameworks and MCP Protocol for multi-agent orchestration.
  • AI/ML Engineering: Strong background in vector embeddings, prompt engineering, context engineering, and fine-tuning LLMs.
  • GenAI & LLM Concepts: Deep understanding of Generative AI, Natural Language Models (NLM), and Large Language Models (LLM).
  • Programming: Advanced proficiency in Python; exposure to Java/Go is a plus.
  • Cloud Proficiency: Strong experience with Azure Cloud services, including deployment, monitoring, and scaling.
  • Databases: Expertise in Azure AI Search, Redis, Cosmos DB; familiarity with Blob Storage and Iceberg is advantageous.
  • Cloud-Native Architecture: Solid grasp of microservices, containerization, serverless computing, scalability, and performance optimization.
  • Healthcare Domain: Experience working with regulated data environments and compliance frameworks.

Preferred Qualifications
Bachelors or master's in computer science, AI/ML, or related field.
Certifications in Azure Solutions Architect or AI Engineering.
Publications, patents, or contributions to open-source AI/ML projects.

Apply