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Prompt Engineer Jobs in San Ramon, CA (NOW HIRING)

OPPO US Research Center

AI Engineer

Palo Alto, CA

Design and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios. Build and improve AI agent systems with ...

Saris AI

Senior ML Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Define and implement the team's approach to evals, LLM routing, prompt engineering, and model selection * Build pragmatic standards that improve quality without slowing the team down * Contribute to ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios. • Build and improve AI agent systems with ...

OPPO US Research Center

AI Engineer

Palo Alto, CA · On-site

... and improve prompt engineering and context engineering workflows, including AI evaluation, debugging, and tuning for real-world product scenarios. • Build and improve AI agent systems with ...

Gamma

AI Engineer

San Francisco, CA · On-site

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 ...

Artos

Backend Software Engineer

San Francisco, CA · On-site

$166K - $231K/yr

Hands-on experience with GenAI applications: prompt engineering, RAG, data pipelines, and eval frameworks * Experience building APIs with modern Python frameworks (FastAPI, Django, etc.) * Experience ...

Noon

Senior Applied AI Engineer

San Francisco, CA · On-site

$250K - $400K/yr

Build user-facing AI features end-to-end: prompt design, agent flows, tool use, RAG pipelines and ... Own the prompt-engineering, context-engineering, and retrieval layers for every AI feature * Know ...

Socure

Technical Support Engineer

San Francisco, CA · On-site

$90K - $115K/yr

Evaluate, prompt-engineer, and iterate on AI tools to improve support quality and reduce MTTR; provide feedback to internal AI tooling teams. * Identify opportunities to automate repetitive support ...

Clerk AI

Staff Software Engineer

San Francisco, CA · On-site

Own the AI orchestration layer -from prompt engineering to context management, tool calling, and response streaming * Drive architectural decisions that shape our voice AI pipeline, including ...

Ascend

Solutions Engineer

San Francisco, CA · On-site

$45/hr

Responsibilities Own and optimize prompt logic * Build, test, and refine prompts that power AI agents using prompt engineering and analytical problem-solving. * Design systems that enable scalable ...

Ascend

Software Engineer

San Francisco, CA · On-site

$140K - $175K/yr

Get up to speed on our prompt engineering and data extraction work, and how testing/monitoring is handled today * Contribute to user-facing projects * Partner with product managers and designers to ...

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Prompt Engineer information

See San Ramon, CA salary details

$11

$52

$98

How much do prompt engineer jobs pay per hour?

As of Jul 23, 2026, the average hourly pay for prompt engineer in San Ramon, CA is $52.62, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $67.98 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.
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Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in San Ramon, CA as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $109,449 per year, or $52.6 per hour.

Applied AI Engineer, Work From Home

Parallel Partners

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 21 days ago

Job description

Job Description

Applied AI Engineer, Work From Home

We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows.  The Applied AI Engineer role focuses on turning model capabilities into real product behavior, where AI interacts with users, supports decision-making, and powers automation across insurance journeys.  This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems.  We have multiple openings for this position.  This position is 100% Remote.

Applied AI Engineer Responsibilities:

- Build AI-powered product features integrated into real insurance workflows.

- Design and optimize LLM-based interactions across customer and internal systems.

- Develop prompts, reasoning flows, and structured AI outputs for production use cases.

- Evaluate model performance using real-world data, feedback loops, and experiments.

- Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.

- Work closely with backend engineers to integrate AI capabilities into APIs and workflows.

- Design and implement AI-driven automation features (chat, recommendations, decision support).

- Analyze user behavior and model responses to continuously improve AI performance.

- Collaborate with product, design, and engineering teams to ship end-to-end AI features.

- Contribute to AI system design decisions focused on usability and real-world impact.

Applied AI Engineer Outcomes

- AI features are reliable, consistent, and production-ready across workflows.

- User-facing AI interactions are intuitive and improve task completion rates.

- Model outputs are measurable, testable, and continuously improving.

- AI-driven automation reduces manual work in insurance processes.

- Product teams can safely deploy AI features with controlled behavior.

Qualifications

Applied AI Engineer Qualifications:

- Strong software engineering background in production environments.

- Experience working with LLMs (OpenAI, Anthropic, or open-source models).

- Familiarity with prompt engineering, structured outputs, and tool use patterns.

- Experience building or integrating AI features into real products.

- Strong understanding of API-based system integration.

- Ability to evaluate AI outputs critically using data and user feedback.

- Experience with experimentation, A/B testing, or evaluation frameworks.

- Strong product sense and focus on user experience.

- Comfortable working in fast-paced, globally distributed teams.

- Tech Stack:  A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, and Weaviate.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Applied AI Engineer, A/B Testing, AI, Artificial Intelligence, Anthropic, Evaluation Frameworks, LLM APIs, Node.js, NoSQL, OpenAI, Open-Source Models, Pinecone, Prompt Engineering Frameworks, Python, REST APIs, SQL, Vector Databases, Weaviate, Software Engineer, Software Developer, Programming, Programmer Analyst, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

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