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

Noon

Senior Applied AI Engineer

San Francisco, CA · On-site

$250K - $400K/yr

  • Medical

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 ...

Trinity Technology Solutions

AI Engineer

San Jose, CA · On-site

* 6 8 years of hands on experience with Generative AI AI ML and Data Science technologies ... prompt engineering embedding fine tuning etc * Experience in working with structured as well as ...

Tata Consultancy Service Limited

Senior AI Engineer

Oakland, CA · On-site

$150K - $170K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... in prompt engineering, prompt optimization, and systematic prompt evaluation • Ability to ... AI systems • Practical experience working with agent orchestration frameworks, specifically ...

Nexxa.ai

Applied AI Engineer

San Francisco, CA · On-site

Integrate and optimize AI/ML pipelines, including data preprocessing, prompt engineering, model selection, and evaluation. * Build reliable, scalable software integrations using APIs, cloud services ...

h2o.ai

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. * Implement guardrails, evaluation frameworks, and responsible AI controls to ...

h2o.ai

Senior AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Develop and deploy LLM-powered applications using RAG, fine-tuning, prompt engineering, function calling, and tool use. * Implement guardrails, evaluation frameworks, and responsible AI controls to ...

Falconer AI

Founding AI Engineer

San Francisco, CA · On-site

$200K - $300K/yr

  • Retirement

We're looking for a Founding AI Engineer to help us build an AI-powered knowledge platform that ... Skilled at prompt engineering * Ability to implement backend systems in Python and/or Node.js * You ...

Avathon

AI Engineer

Pleasanton, CA

$116K - $159K/yr

  • Medical

  • Retirement

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt ...

Eloquent AI

AI Engineer, Multimodal LLMs

San Francisco, CA · On-site

$93K - $124K/yr

You have experience with prompt engineering, parameter-efficient fine-tuning (PEFT), retrieval-augmented generation (RAG), reinforcement learning for LLMs. * You've published AI research in top tier ...

Artos AI

Applied AI Engineer

San Francisco, CA · On-site

... advanced prompt engineering strategies, evaluation frameworks, and RAG pipelines • Conducting ... AI applications • Ability to create, orchestrate, and evaluate LLM-based agents and chained ...

Altera

AI Engineer

San Jose, CA · On-site

AI Engineer - Agentic AI Systems Why This Role Matters AI is shifting from models to autonomous ... Design multi-step reasoning workflows , not just prompt calls * Evaluate and improve model behavior ...

Avathon

AI Engineer

Pleasanton, CA · On-site

  • Medical

  • Retirement

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt ...

Avathon

AI Engineer

Pleasanton, CA · On-site

As an AI Engineer, you will play a critical role in designing, developing, and deploying scalable ... Develop and optimize end-to-end LLM pipelines including RAG architectures, fine-tuning, prompt ...

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All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in San Ramon, CA

Ai Prompt Engineer information

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$28

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$85

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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Cities near San Ramon, CA with the most Ai Prompt Engineer job openings:

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 Software Engineer

Gallatin AI, Inc.

San Francisco, CA • On-site

Full-time

Re-posted 8 days ago

Job description

Job Summary:
Gallatin AI, Inc. is focused on transforming logistics infrastructure for national security missions. They are seeking an AI Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams to deliver impactful applications.
Responsibilities:
• Build and Deploy AI/ML Models
• Own and develop an AI model aligned with our core product needs within the first three months.
• Validate AI-driven product features through real-world testing and feedback from warfighters.
• Establish scalable MLOps pipelines and real-time inference services to streamline model training, deployment, runtime, and monitoring.
• Own high model reliability and uptime by implementing monitoring across your work.
• Identify and integrate structured, unstructured, real-time, and batch data sources.
• Work with internal logs, APIs, user interactions, and third-party datasets to improve model training quality.
• Stay ahead of AI trends and emerging technologies to improve model performance.
• Document and share best practices for AI/ML development.
• Contribute to the hiring and mentoring of AI/ML talent as we grow our team.
• Teach the wider team about the latest trends and significance in novel approaches in AI.
Qualifications:
Required:
• Strong Programming Skills: Expertise in at least one: Python, C++, or C.
• ML Framework Proficiency: Hands-on experience with AI/ML training and fine-tuning frameworks, including: PyTorch, TensorFlow, CUDA, Jupyter Notebooks, Large Language Models (LLMs) and Open-Source Models (Llama, Anthropic, Mistral), LangChain, Retrieval-Augmented Generation (RAG), Hugging Face, Exo Labs.
• MLOps & Data Engineering Knowledge: Experience with data processing and pipeline frameworks such as Apache Kafka, Apache Airflow, AWS Kinesis, pandas, and dbt. Understanding of AI model performance monitoring, data drift detection, and observability tools like Grafana or Kibana.
• AI Fundamentals & Security Awareness: Deep understanding of deep neural networks (DNNs), LLMs, over/underfitting, prompt engineering, and LLM security (jailbreaking risks and protections).
• Growth Mindset: Passion for continuous learning and staying current with the latest advancements in AI/ML, as well as teaching others.
Preferred:
• Experience mentoring and upskilling junior engineers.
• Familiarity with legacy systems and working with public sector customers.
• Contributions to open-source (AI/ML) projects.
Company:
Gallatin is building a logistics platform based on the needs and constraints of today's defense industry. Founded in 2024, the company is headquartered in El Segundo, USA, with a team of 11-50 employees. The company is currently Early Stage.

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