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Senior Prompt Engineering Jobs in California (NOW HIRING)

h2o.ai

Senior AI Engineer

San Francisco, CA · On-site

$180 - $280/hr

Lead end‑to‑end technical engagement with enterprise customers, acting as the senior point of ... Develop and deploy LLM‑powered applications using RAG, fine‑tuning, prompt engineering ...

Carter Support Services

AI/ML Engineer

Burbank, CA · On-site

Mid-Senior (10+ Years) Industry: Information Technology & ServicesPosition Overview Carter Support ... Develop and optimize prompt engineering strategies for LLM-based systems * Build and deploy RAG ...

Cerebras

Sr. AI Engineer

Burbank, CA · On-site

$151.50 - $181.50/hr

Build AI-powered applications using Large Language Models (LLMs), AI agents, prompt engineering ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

BirdEye Inc

Senior GTM Engineer

Palo Alto, CA · On-site

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 ...

Funko

Sr. AI Engineer

Burbank, CA · On-site

$111K - $153K/yr

Build AI-powered applications using Large Language Models (LLMs), AI agents, prompt engineering ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

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Senior Prompt Engineering information

What is a senior prompt engineer?

A Senior Prompt Engineer is a specialist who designs, develops, and optimizes prompts to interact effectively with artificial intelligence language models, such as ChatGPT or other generative AI systems. They leverage deep understanding of AI behavior and natural language processing to create instructions that yield accurate, relevant, and safe outputs. Senior Prompt Engineers may also lead teams, establish best practices, and collaborate with product, engineering, and research teams to improve AI performance and user experience.

What are the key skills and qualifications needed to thrive as a senior prompt engineer, and why are they important?

To excel as a Senior Prompt Engineer, you need strong expertise in natural language processing (NLP), machine learning principles, and experience with large language models, typically supported by a degree in computer science or a related field. Proficiency with programming languages like Python, frameworks such as TensorFlow or PyTorch, and prompt design tools is essential, as are any relevant certifications in AI or data science. Exceptional analytical thinking, creativity, and communication skills help in crafting effective prompts and collaborating with cross-functional teams. These competencies ensure the development of high-quality AI solutions that meet user requirements and drive innovation.

What are some common challenges faced by senior prompt engineers when collaborating with cross-functional teams?

Senior Prompt Engineers often work closely with data scientists, product managers, and software engineers to develop effective AI prompts. A common challenge is ensuring clear communication about technical constraints and user requirements, as team members may have varying levels of familiarity with prompt engineering concepts. Balancing creativity with practical limitations—such as model capabilities and ethical guidelines—requires active collaboration and adaptability. Additionally, aligning prompt design with evolving project goals can be complex, so strong project management and interpersonal skills are essential for success in this role.

What is the difference between Senior Prompt Engineering vs Prompt Engineer?

AspectSenior Prompt EngineeringPrompt Engineer
CredentialsTypically requires experience in AI, NLP, and related certificationsEntry to mid-level skills in AI and prompt design
Work EnvironmentAdvanced projects, leadership roles, strategic planningHands-on prompt creation, testing, and optimization
Industry UsageUsed in organizations developing AI models and NLP applicationsCommon in AI startups, research labs, and tech companies

Senior Prompt Engineering involves leading complex AI projects, designing advanced prompts, and mentoring teams, while Prompt Engineers focus on creating and refining prompts for specific applications. The senior role requires more experience and strategic oversight, whereas the prompt engineer role is more hands-on and task-focused.

Are senior prompt engineers still in demand?

Senior prompt engineers are increasingly in demand as organizations seek expertise in designing effective prompts for AI models like GPT. Their skills in natural language processing, machine learning, and AI tool integration are valuable across industries, and demand is expected to grow with the expansion of AI applications.

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 are popular job titles related to Senior Prompt Engineering jobs in California?

For Senior Prompt Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Senior Prompt Engineering jobs in California look for?

The top searched job categories for Senior Prompt Engineering jobs in California are:

What cities in California are hiring for Senior Prompt Engineering jobs?

Cities in California with the most Senior Prompt Engineering job openings:

Senior Prompt Engineering jobs near you
Infographic showing various Senior Prompt Engineering job openings in California as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, 2% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Senior Software Engineer

David Joseph & Company

San Francisco, CA • Hybrid

$180K - $200K/yr

Full-time

Posted 16 days ago

Job description

Senior Software Engineer

San Francisco, CA or Atlanta, GA · On-site · Full-time
Compensation: $180K–$200K + equity

About the Company

Our client is a seed-stage AI startup building the context layer that makes AI genuinely useful across the enterprise — connecting dozens of workplace apps through a proprietary knowledge graph so AI can act with full organizational context, at a fraction of typical inference cost. Early traction is strong, with enterprise customers already in the pipeline and a fast-growing team. This is a first-engineers-in-the-door opportunity to shape technical architecture and engineering culture from the ground up.

Founded 2023 · ~25 people · Industry: AI, Enterprise, B2B, Software Development

The Role

Join as one of the first engineers building the foundation for the next era of enterprise AI. This is a hands-on, full-stack role for someone who thrives on ambiguity, moves fast from idea to production, and is obsessed with making customers happy.

What you'll be doing

  • Building and shipping across the full stack — from deep AI systems (context graphs, model routing) to traditional application code
  • Guiding early technical architecture decisions that will scale as the company grows
  • Using AI aggressively in your own workflow to maximize velocity and output
  • Mentoring junior engineers and helping establish the engineering culture
  • Partnering with product on vision, strategy, and roadmap

Tech stack: GoLang, TypeScript, Python; AI/ML APIs and prompt engineering; local LLM deployment and high-volume inference; Kubernetes / unmanaged clusters; Google Cloud.

Requirements
  • 4–8 years of full-stack software engineering experience
  • A track record of building and shipping products from zero-to-one in real production environments
  • Hands-on AI-native development experience (for example, Cursor or Claude Code)
  • Experience with AI/ML APIs and prompt engineering, especially local LLM deployment and high-volume inference management
  • Comfort operating with ambiguity and self-directing without detailed specs
  • Experience mentoring or managing junior engineers, or a genuine interest in doing so
  • Bachelor's degree in Computer Science or a related field
Nice to Haves
  • Using AI to build AI — personal AI projects count too
  • Kubernetes or unmanaged cluster experience
  • Proficiency across GoLang, TypeScript, and Python
Why Join
  • Be one of the first engineers at a hyper-growth, seed-stage company redefining how organizations use AI
  • Real ownership over architecture and engineering culture at a formative stage
  • Build genuine AI depth — the context layer behind the product, not a thin chat wrapper
  • Full-stack scope spanning AI systems and application code
Details
  • Location: San Francisco, CA or Atlanta, GA (Atlanta preferred)
  • Work policy: On-site — 5 days/week in Atlanta, 4 days/week in San Francisco
  • Compensation: $180K–$200K + equity
  • Visa sponsorship: Applicants must be authorized to work in the US without sponsorship
  • Employment type: Full-time