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Home Based Prompt Engineering Jobs in California

If you get excited about mixing prompt engineering with software engineering to unlock new AI ... Drive the AI roadmap based on quality gaps, constantly evaluating new frontier models and methods

You'll work across the entire stack, from prompt engineering to frontend integration, shaping how ... We love working together to stay creative and connected, with flexibility to work from home when ...

This is a contract role based on-site at our San Francisco office, 40 hours per week for six months ... Build, test, and refine prompts that power AI agents using prompt engineering and analytical ...

... and AI agent-based systems. * Strong expertise in Python programming and modern software ... Hands-on experience with LangGraph, LangChain, Large Language Models (LLMs), and prompt engineering.

Develop and optimize AI applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs. * Design and improve prompt engineering ...

Develop and optimize AI applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs. Design and improve prompt engineering ...

Build and maintain AI-based automations and workflows, including prompt engineering for generative-AI-enabled tools. Tech Stack Ownership * Maintain a centralized inventory of all GTM systems with ...

... applications based on LLMs and multimodal foundation models, with strong understanding of model quality, latency, and cost trade-offs. • Design and improve prompt engineering and context ...

Software Engineer

Santa Clara, CA · On-site

$149K - $224K/yr

You will design and deploy LLM-based services , implement strong prompt engineering techniques, guardrails, and model evaluation frameworks, and ensure secure, scalable delivery on AWS. This role ...

Build and enhance AI features - including LLM integrations, prompt engineering, and agent pipelines ... Docker, Kubernetes, GCP, Microsoft Azure Location This is a full-time, on-site role based in Munich ...

Showing results 21-40

Home Based Prompt Engineering information

What is the difference between Home Based Prompt Engineering vs Remote AI Content Specialist?

AspectHome Based Prompt EngineeringRemote AI Content Specialist
Required CredentialsBasic understanding of AI prompts, no formal certification neededExperience in content creation, possibly some AI tool familiarity
Work EnvironmentHome-based, flexible hoursHome-based, project or task-based
Industry UsageAI development, chatbot training, prompt optimizationContent marketing, social media, digital content creation
Common Search IntentJobs involving AI prompt design from homeRemote content creation roles involving AI tools

Home Based Prompt Engineering focuses on designing and refining prompts for AI models, often requiring technical understanding of AI systems. In contrast, Remote AI Content Specialists create digital content using AI tools, emphasizing content skills. Both roles are home-based and industry-related but differ in technical depth and primary tasks.

Are home based prompt engineers still in demand?

Home-based prompt engineering is an emerging field within AI and natural language processing, with demand increasing as organizations seek expertise in designing effective prompts for AI models. Skills in AI tools, machine learning, and strong communication are valuable, and remote work opportunities are growing in this area. However, the field is still developing, and demand may vary based on industry adoption and technological advancements.
What are the most commonly searched types of Prompt Engineering jobs in California? The most popular types of Prompt Engineering jobs in California are:
What job categories do people searching Home Based Prompt Engineering jobs in California look for? The top searched job categories for Home Based Prompt Engineering jobs in California are:

AI Engineer

Gamma

San Francisco, CA • On-site

Full-time

Re-posted 25 days ago


Job description

About the role
You'll own the core AI systems that power Gamma: the models, prompts, and pipelines behind text, image, and layout generation. With over 1 million AI-generated presentations and 6 million AI images created every day, this work operates at massive scale. Your job is to elevate quality, evaluate new frontier models, and push into new capabilities and modalities.
This role is about productizing existing foundation models, not training new ones. You'll focus on prompting, evaluating, and fine-tuning for maximum performance across Gamma's product surface. You'll also launch new modalities like voice and video, build the evaluation infrastructure to measure what "good" looks like, and own uptime, latency, and cost across our AI stack. You'll work closely with engineering and product to ship improvements that millions of users feel immediately.
You'll thrive here if you're a tinkerer who loves pushing foundation models to their limits and you're equally comfortable writing prompts and writing production code. If you get excited about mixing prompt engineering with software engineering to unlock new AI capabilities, this is your role.
Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most.
What you'll do
  • Own Gamma's LLM and image prompts, measuring and continuously improving quality at scale across text, layout, and visual generation
  • Develop complex prompts for new features using AI JSX, balancing creativity with reliability
  • Build evaluation frameworks for prompts and models, combining quantitative metrics with qualitative feedback to create better test sets
  • Drive the AI roadmap based on quality gaps, constantly evaluating new frontier models and methods
  • Curate datasets for fine-tuning open-source models and launch new modalities like voice and video
  • Own analytics, tracking, uptime, latency, and cost across Gamma's AI infrastructure
What you'll bring
  • Proven track record pushing foundation models to their limits, with hands-on experience building and evaluating prompts at scale
  • Proficiency in TypeScript and Python, with a software engineering foundation that lets you move fluidly between prompt engineering and production development
  • Strong data instincts: experience writing evals, designing metrics, and translating qualitative feedback into measurable, actionable improvements
  • Self-sufficient in gathering and cleaning data to inform prompt improvements and model evaluations
  • Experience with modern LLMs and image models such as Flux and Imagen (Nice to have)
  • Familiarity with AI tooling like AI JSX for prompting and Braintrust for evaluations (Nice to have)

Compensation range:
The base salary for this full-time position, which spans multiple internal levels depending on qualifications, ranges between $180K - $300K plus benefits & equity.
Final offer amounts are determined by multiple factors, including but not limited to experience and expertise in the requirements listed above.
If you're interested in this role but you don't meet every requirement, we encourage you to apply anyway! We're always excited about meeting great people.