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Remote Prompt Engineer Jobs in Fullerton, CA (NOW HIRING)

We are fully remote, and we operate as an AI-native team: every role at Single Grain is expected to ... Document repeatable prompt workflows. Contribute to internal AI SOPs. Target: reduce dev cycle time ...

Applied experience with LLM integration, prompt engineering, function calling, and building or ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

With 100+ employees across the world, we support remote-first work with deep investment in our LA ... summaries, prompt libraries for prospecting) * Partner with the GTM Engineer to push what ...

... sales, solution engineering, marketing, and product teams. What you'll do : • Sell Aspire ... Fully remote employees will be able to stay remote. Be Human With Us: Being human isn't about ...

This is remote but you MUST be LA based and able to be onsite for shoots that are in LA with some ... Maintain clear, prompt communication across Outlook/email and Teams with executives, internal ...

Customer Support Coordinator

Irvine, CA · On-site +1

$68K - $74K/yr

Remote work may be considered for exceptional cases. RESPONSIBILITIES * Manage customer tickets ... Coordinate engineers and vendors to resolve installation problems. * Understanding of how solar ...

Customer Support Coordinator

Irvine, CA · On-site +1

$68K - $74K/yr

Remote work may be considered for exceptional cases. RESPONSIBILITIES * Manage customer tickets ... Coordinate engineers and vendors to resolve installation problems. * Understanding of how solar ...

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Remote Prompt Engineer information

See Fullerton, CA salary details

$13

$58

$84

How much do remote prompt engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for remote prompt engineer in Fullerton, CA is $58.42, according to ZipRecruiter salary data. Most workers in this role earn between $41.88 and $77.74 per hour, depending on experience, location, and employer.

What is a remote prompt engineer?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What does a typical workday look like for a remote prompt engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI language models. The role often requires skills in natural language processing, AI tools, and programming, with many companies offering remote positions due to the digital nature of the work.

What is the salary of remote prompt engineer?

The salary of a remote prompt engineer typically ranges from $70,000 to $130,000 annually, depending on experience, skills, and the company's size. Entry-level positions may start lower, while experienced professionals with specialized knowledge in AI and machine learning can earn higher salaries. Compensation often includes benefits such as flexible schedules and opportunities for skill development.

What job categories do people searching Remote Prompt Engineer jobs in Fullerton, CA look for?

The top searched job categories for Remote Prompt Engineer jobs in Fullerton, CA are:

What cities near Fullerton, CA are hiring for Remote Prompt Engineer jobs?

Cities near Fullerton, CA with the most Remote Prompt Engineer job openings:

Senior Full Stack Engineer, AI-First Platform

Noor Staffing Group

Los Angeles, CA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Senior Full Stack Engineer, AI-First Platform

About the Company

One of the fastest-growing lenders in the country, founded by an industry veteran and backed by a technology team that ships production code daily. This is not a company talking about AI. They are running it in production across a platform that moves real money and real decisions at scale. Engineers here work on problems that matter, with tooling most teams are still debating whether to adopt.

Compensation and Work Environment

  • Salary: Competitive, based on experience
  • Location: Hybrid or fully remote
  • Full-time, exempt. Benefits include medical, dental, vision, and 401(k).

    The Role

    You will be a core engineer on a team automating a complex, high-stakes transactional platform end to end. The system you are building connects multiple third-party services through event-driven architecture, applies LLMs to document understanding and decisioning, and ships agentic workflows directly into production. This is not AI bolted onto an existing product. It is the product.

    What You Will Build

  • Agentic workflows that connect LLMs, OCR, and rules engines to automate high-stakes decisioning at scale
  • LLM-powered document understanding pipelines with confidence scoring, structured extraction, and human-in-the-loop review queues
  • Event-driven back-end automation connecting multiple third-party APIs and vendor services
  • Full stack features across broker-facing portals and internal platforms: APIs, integrations, and the front-end surfaces that expose them
  • AI-driven condition analysis, automated decisioning layers, and explainability systems built to regulatory standards
  • Eval harnesses, regression detection, and pass/fail gates that hold AI-generated output to the same bar as human-written code

    AI-First Development (Non-Negotiable)

    This team builds AI-first. Every engineer uses AI coding tools daily, including Claude Code, Cursor, GitHub Copilot, or equivalent, as a core workflow multiplier, not occasional autocomplete. You will decompose work into agentic tasks, critically review and harden AI-generated code, and ship AI directly into the product. Be prepared to walk through real examples in the interview, including a live AI-paired coding exercise.

    What We Are Looking For

  • 5+ years of professional full stack development with strong back-end fundamentals in TypeScript/Node.js, Python, React, Java, or C#/.NET
  • Production experience integrating LLM APIs such as Anthropic, OpenAI, or Azure OpenAI, including RAG, structured outputs, prompt pipelines, and agentic tool use shipped in real systems, not demos
  • Extensive experience designing and consuming RESTful APIs and integrating third-party services at scale
  • Cloud experience in AWS and/or Azure, including Lambda/Functions, queues, containers, and CI/CD
  • Daily, demonstrable use of AI coding tools. This is non-negotiable.

    Nice to Have

  • Eval-driven development: you have built labeled eval sets, measured accuracy and drift, and treat how do we know it is right as a first-class engineering question
  • Experience in regulated environments where a wrong output is a compliance event, not just a bug
  • Mortgage, fintech, or lending technology experience: LOS platforms, broker portals, AUS integrations, or disclosure and doc-prep systems
  • Rules engine or decision-table experience such as Drools or similar
  • Document AI or OCR pipeline work

Benefits: medical, dental, vision, retirement, PTO. Noor Group is an Equal Opportunity Employer. Physical Requirements: standing, bending, reaching, lifting up to 50 lbs occasionally, with or without accommodation.