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Retrieval Augmented Generation Jobs in California

Data Scientist II

Irvine, CA · On-site +1

$127K/yr

Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...

Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques * Experience working with cloud platforms such as Azure, AWS, or similar ecosystems * Familiarity with data ...

AI/ML technologies (e.g., LLMs, NLP, retrieval-augmented generation) - 6 Yrs of Exp * Jira, Azure DevOps, Confluence, and Smartsheet - 6 Yrs of Exp Must have Certifications: PMP, PMI-ACP, or ...

Showing results 21-40

Retrieval Augmented Generation information

What does a retrieval augmented generation engineer do?

A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.

What is a retrieval augmented generation?

A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.

What skills and qualifications are needed for retrieval augmented generation?

To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.

What are the most commonly searched types of Retrieval Augmented Generation jobs in California?

The most popular types of Retrieval Augmented Generation jobs in California are:

What cities in California are hiring for Retrieval Augmented Generation jobs?

Cities in California with the most Retrieval Augmented Generation job openings:

Infographic showing various Retrieval Augmented Generation job openings in California as of August 2026, with employment types broken down into 44% Full Time, and 56% Contract. Highlights an 74% In-person, and 26% Remote job distribution.

Senior AI Automation Engineer

Prologis, Inc.

San Francisco, CA • On-site

$122K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Job description

At Prologis, we don't just lead the industry-we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one-not just shaping the future of logistics but building what comes next.
Job Title:
Senior AI Automation Engineer
Company:
Prologis
A day in the life
The Senior AI Automation Engineer accelerates the delivery and adoption of practical AI solutions across Digital Experience Technology and adjacent operational teams. This role partners with stakeholders supporting public websites, authenticated portals, service operations, managed service providers, marketing technology, digital platforms, and vendor management to identify high-value opportunities and translate them into production capabilities. The engineer leads work from discovery and prototyping through deployment, adoption, measurement, and continuous improvement. By establishing reusable engineering patterns, governance practices, and enterprise AI assets, this role helps improve customer and employee experiences while reducing manual effort and operational constraints.
Key responsibilities include:
• Design and deliver AI-powered applications, agents, copilots, task assistants, and workflow automations that improve digital product delivery, customer self-service, support operations, knowledge retrieval, vendor management, and internal productivity.
• Integrate AI services with customer portals, custom applications, workflow and service management platforms, knowledge and analytics systems, procurement and contract lifecycle processes, and AWS services.
• Lead AI solutions from business discovery and rapid prototyping through production deployment, adoption, performance measurement, and continuous improvement.
• Translate business needs into scalable technical designs in partnership with Digital Experience, Customer Experience, Service Operations, Product, Platform Engineering, Vendor Management, and other stakeholders.
• Define reusable engineering patterns for prompt frameworks, retrieval-augmented generation, text-to-SQL, semantic data models, agent workflows, evaluation, guardrails, human review, and workflow orchestration.
• Build secure, reliable, observable, and cost-effective AI applications using modern software engineering practices, APIs, Model Context Protocol, agent-to-agent services, cloud services, automation frameworks, and enterprise integration patterns.
• Measure solution value through automation rate, adoption, accuracy, customer satisfaction, productivity improvement, operational savings, and return on investment, while mentoring engineers, contractors, and implementation partners.
Building blocks for success
Required:
• 6+ years of professional experience in software engineering, AI engineering, automation engineering, digital technology, data and analytics, or a related technical field.
• Demonstrated experience designing, building, and deploying AI-powered applications, agents, copilots, or workflow automation solutions.
• Experience applying generative AI, large language models, embeddings, vector databases, retrieval-augmented generation, prompt engineering, and agent workflows to business problems.
• Programming experience with Python and Node.js for APIs, automations, AI applications, Model Context Protocol servers, agent-to-agent services, and integrations.
• Experience integrating enterprise systems through APIs, JSON, webhooks, authentication, event-driven workflows, and secure data exchange.
• Experience with Dataiku, Snowflake, AWS, or comparable enterprise data and AI platforms.
• Experience with CI/CD, Infrastructure-as-Code, containers, DevOps practices, or scalable cloud deployment patterns.
• Experience implementing testing, evaluation, monitoring, and feedback loops for AI applications, retrieval-augmented generation solutions, or agent workflows.
• Ability to independently lead technical delivery and communicate AI solutions in clear business terms to technology and operational stakeholders.
Preferred:
• Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Artificial Intelligence, a related technical field, or equivalent experience.
• Experience supporting customer-facing digital platforms, authenticated portals, customer self-service, or service operations workflows.
• Experience with enterprise platforms such as CRM, Drupal CMS, digital asset management, service management, marketing technology, knowledge management, contract management, or procurement systems.
• Experience designing reusable AI reference architectures, accelerators, prompt libraries, multi-agent workflows, tool-using agents, context engineering, agent memory, and human-in-the-loop processes.
• Experience working with distributed engineering teams, vendors, contractors, or implementation partners, including defining metrics for adoption, productivity, customer experience, operational savings, and return on investment.
• Demonstrates willingness and capability to leverage emerging technology, automation, and AI tools to improve efficiency, quality, and speed. Exercises sound judgment, creative thinking, and accountability for outcomes.
Hiring Salary Range of: $124,000 - $171,000. Salary and whole compensation package (bonus target) to be determined by the candidate's location, education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
#LI-TA1
People First
Each of us working at Prologis plays an essential role in the enduring success of our company. We value people who are decisive, courageous and adaptable. While we are one company, locations and departments operate with autonomy and accountability. Individuals take the initiative here.
When you join Prologis, you work shoulder to shoulder with some of the top talent in the industry to do the best work of your career. Every employee belongs. Every employee contributes. Employees advance their careers here.
As a successful global enterprise, Prologis has never lost sight of what matters most, our strong belief that our people are the most important part of our business. And because of that, we provide a generous total rewards package and take a lot of time to focus on quality management and leadership development. People come first here.
All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents. Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits. Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation. We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.
All job offers are contingent upon successful completion of background verification. Prologis is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religions, sex, national origin, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by law.
Employment Type:
Full time
Location:
San Francisco, California
Additional Locations:
Denver, Colorado

Prologis logo

About Prologis

Sourced by ZipRecruiter

Prologis is a global leader in logistics real estate, specializing in the development, ownership, and management of high-quality industrial properties. With a vast portfolio of distribution centers, warehouses, and logistics facilities, Prologis plays a crucial role in supporting the global supply chain and enabling efficient commerce. As the world's largest owner of logistics real estate, Prologis provides state-of-the-art facilities strategically located in key logistics hubs across the globe. Prologis properties are designed to meet the evolving needs of e-commerce, retail, manufacturing, and logistics companies, offering modern amenities, advanced technology, and sustainable features.

Industry

Real estate

Company size

1,001 - 5,000 Employees

Headquarters location

San Francisco, CA, US

Year founded

1983

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