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Home Based Prompt Engineering Jobs in California

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 ...

... prompt engineering, rule-based classifier encoding, and quality evaluations. Job Responsibilities: * Provide linguistic expertise while delivering data for large language models * Collaborate with ...

Own the prompt-engineering, context-engineering, and retrieval layers for every AI feature * Know ... Familiarity with WebSocket-based real-time systems * Background shipping AI inside collaborative or ...

We're Silicon Valley-based entrepreneurs who have sold companies, gone through HF0, and built teams ... Own the AI orchestration layer -from prompt engineering to context management, tool calling, and ...

Showing results 41-60

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:

What cities in California are hiring for Home Based Prompt Engineering jobs?

Cities in California with the most Home Based Prompt Engineering job openings:

Contractor

Medical, Life, Retirement

Posted 8 days ago


Job description

We are helping an on-demand, autonomous ride-hailing company find a Software Engineer to design and build production-grade AI applications, agents, and conversational systems.

In this role, you'll develop AI-powered products that support complex task execution, decision-making, and customer interactions. You'll evaluate and integrate large language models, build Retrieval-Augmented Generation systems, and partner with cross-functional teams to deliver scalable, reliable AI solutions.

The ideal candidate is an experienced software engineer with a strong Python and machine learning background, hands-on experience building AI applications, and a practical understanding of how to balance model accuracy, latency, cost, and user experience.

As a Software Engineer, you'll:

  • Design and develop AI agents and autonomous systems capable of complex task execution and decision-making.
  • Build conversational AI applications, including chatbots and voice-based customer service systems.
  • Develop AI-powered integrations across applications, platforms, and services.
  • Design and optimize Retrieval-Augmented Generation systems using vector databases, embeddings, retrieval strategies, and prompt engineering.
  • Develop, implement, and optimize machine learning models using PyTorch.
  • Evaluate and select large language models based on accuracy, latency, cost, capabilities, and user experience.
  • Translate business requirements into scalable technical AI solutions in partnership with cross-functional teams.
  • Architect, deploy, and maintain production-grade AI systems with a focus on reliability, scalability, security, and performance.
  • Monitor AI system performance and improve model quality, response accuracy, and operational efficiency.

Requirements

Qualifications:

  • 6+ years Proficiency in Python for AI/ML development
  • 6+ years Experience with PyTorch (or willingness to learn for entry-level candidates)
  • Understanding of AI agents and their application to real-world problems
  • Hands-on experience or strong interest in building chatbots and/or voice-based conversational systems
  • Knowledge of RAG system components: vector databases, embeddings, retrieval strategies, and prompt engineering
  • Familiarity with major LLM providers (OpenAI, Anthropic, Google, Meta, etc.) and understanding of their trade-offs in terms of performance, cost, latency, and capabilities
  • Understanding of transformer neural network architecture and attention mechanisms 6+ years
  • Experience integrating AI capabilities into applications or eagerness to learn application development

Bonus Qualifications:

  • Proficiency in Kotlin programming
  • Full-stack development experience with both backend and frontend technologies
  • Cloud software development experience, especially microservices architecture and integration
  • Experience with REST APIs, gRPC, and/or Kafka for service communication and event-driven architectures
  • Knowledge of cloud platforms (AWS, GCP, Azure) for AI deployment
  • Familiarity with containerization and orchestration (Docker, Kubernetes)
  • Experience with AI frameworks like LangChain, LlamaIndex, AutoGen, or similar tools Understanding of CI/CD pipelines and DevOps practices

Benefits

Life Insurance
Medical Insurance

401k