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

Fluency

AI Engineer

San Francisco, CA · On-site

Responsibilities : • Build new AI features end to end, from prototype to production. • Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation. • Design ...

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 ...

Momentic AI

Founding Engineer (AI)

San Francisco, CA · On-site

$150K - $220K/yr

Experience with LLM performance tuning, including prompt engineering and context management ... AI, or Baseten * Familiarity with evaluation dataset engineering, prompt engineering, LLM as a ...

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 ...

Tata Consultancy Service Limited

AI Engineer

Sunnyvale, CA · On-site

$90K - $140K/yr

... • Strong prompt engineering skills to improve and optimize model outputs • Experience with ... AI-powered functionality • Apply ML models for anomaly detection, analyzing data to surface ...

Kastle AI Inc

Staff AI Engineer

San Francisco, CA · On-site

$250K - $350K/yr

Prompt Engineering: Design and iterate on prompt strategies to optimize AI performance and compliance * Evaluate LLMs and AI Agents: Build high quality evals using our proprietary datasets to ...

Tenex.AI Inc

Principal AI Engineer

San Jose, CA · On-site +1

Own evaluation & reliability -from prompt libraries and fine tuning to red-team testing, latency budgets, and fallback strategies. * Mentor & grow a cohort of AI engineers; run design reviews, uphold ...

Alliance IT

Agentic AI Engineer

San Jose, CA · On-site

Knowledge of LLM integration, prompt engineering, RAG, and AI application development * Strong communication and client-facing skills Important: Candidate must be available for onsite work in San ...

AllianceIT

Agentic AI Engineer

San Jose, CA · On-site

... prompt engineering, RAG, and AI application development Strong communication and client-facing skills Important: Candidate must be available for onsite work in San Jose from Day 1 and must be willing ...

Clerk AI

Staff Software Engineer

San Francisco, CA · On-site

... 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 ...

Fluency

AI Engineer

San Francisco, CA · On-site

$150K - $250K/yr

Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation. * Design and run evals that measure real output quality, not just first impressions. * Iterate fast ...

Gallatin AI, Inc.

AI Software Engineer

San Francisco, CA · On-site

Gallatin AI, Inc. is focused on rebuilding logistics infrastructure for national security missions ... Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and ...

Eloquent AI

AI Engineer, Agent

San Francisco, CA · On-site

Meet Eloquent AI At Eloquent AI, we're building the next generation of AI Operators-multimodal ... You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval ...

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How much do ai prompt engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for ai prompt engineer in San Ramon, CA is $59.93, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $69.57 per hour, depending on experience, location, and employer.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior. Relevant certifications, online courses, and familiarity with AI tools can also enhance your qualifications.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

What is the job of an AI Prompt Engineer?

An AI Prompt Engineer designs and optimizes prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like natural language processing to ensure accurate and relevant outputs, often working with machine learning frameworks and data annotation techniques.

What are the most commonly searched types of Ai Prompt Engineer jobs in San Ramon, CA?

The most popular types of Ai Prompt Engineer jobs in San Ramon, CA are:

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For Ai Prompt Engineer jobs in San Ramon, CA, the most frequently searched job titles are:

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Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in San Ramon, CA as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $124,662 per year, or $59.9 per hour.

AI Engineer

Fluency

San Francisco, CA • On-site

Full-time

Re-posted 4 days ago

Job description

Job Summary:
Fluency is an early-stage company building a platform to analyze productivity and process conformance in large organizations. They are seeking a full-time AI Engineer to develop and improve user-facing AI features by creating prompts, agents, and pipelines, ensuring their production readiness and reliability.
Responsibilities:
• Build new AI features end to end, from prototype to production.
• Improve AI output quality through prompt engineering, model selection, retrieval, and evaluation.
• Design and run evals that measure real output quality, not just first impressions.
• Iterate fast on prompts, agent designs, and orchestration patterns.
• Partner with the Product Engineer to translate requirements into AI features that actually work.
• Partner with the AI Platform team to land features on solid infrastructure.
• Evaluate new models, tools, and techniques when they improve quality, latency, cost, or reliability.
Qualifications:
Required:
• Hands-on experience building LLM-powered features that shipped to real users
• Production engineering chops in TypeScript/Node (primary, especially in AWS Lambda) and/or Python
• Experience with multiple LLM providers such as Anthropic, OpenAI, Google Vertex, AWS Bedrock, or similar
• Practical judgment in prompt engineering, retrieval, and agent design, backed by evaluation results
• Track record of building evaluation systems that actually catch regressions
• Solid software engineering fundamentals: you can write production code, not just notebooks
Preferred:
• Experience with provider-abstraction libraries for multi-LLM workflows
• Familiarity with pgvector or other vector retrieval systems
• Experience with post-training or fine-tuning
• Experience deploying AI features on AWS Lambda, ECS Fargate, or similar
• Background in ML, NLP, or applied research
• Experience with structured output, function calling, and tool use at scale
• Experience with Anyscale Ray or similar distributed compute frameworks for batch inference, eval pipelines, or scaling agent workloads
• Open source contributions in the LLM or agent tooling space
Company:
Developer of an AI-powered SaaS platform for automatically generated documentation, task intelligence, and executive insights. Founded in 2023, the company is headquartered in Melbourne, AUS, with a team of 11-50 employees. The company is currently Early Stage.

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