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Temporary Retrieval Augmented Generation Jobs in California

Gen AI Lead - RAG (Retrieval-Augmented Generation) Specialist We are looking for a highly skilled Gen AI Lead specializing in Retrieval-Augmented Generation (RAG) to join our AI team in Pleasanton ...

Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants. * Evaluate emerging AI technologies, frameworks, and infrastructure to ...

Senior Agentic AI Builder

San Jose, CA · On-site

$107K - $136K/yr

... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...

AI/ML Engineer

Burbank, CA · On-site

$111K - $153K/yr

Build and deploy RAG (Retrieval-Augmented Generation) pipelines * Integrate LLMs via APIs (Azure OpenAI preferred) into enterprise applications * Develop and orchestrate agentic AI workflows with ...

This role focuses on building scalable systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI workflows . The ideal candidate will bring deep expertise ...

Software Engineer (Java + GenAI)

San Jose, CA · On-site

$60.75 - $83.25/hr

... Retrieval-Augmented Generation (RAG) - Vector databases - Prompt engineering - Large Language Models (LLMs) - Application: Send suitable profiles and contact details to rams@vensoft.com

Senior Software Engineer, DevAI

San Diego, CA · On-site

$130K - $171K/yr

Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...

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 ...

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Temporary Retrieval Augmented Generation information

What is the difference between Temporary Retrieval Augmented Generation vs Data Scientist?

AspectTemporary Retrieval Augmented GenerationData Scientist
Required CredentialsTypically requires knowledge of AI, NLP, and some programming skillsRequires degrees in data science, statistics, or related fields, often with certifications in data analysis
Work EnvironmentOften project-based, working with AI models and large datasets in tech or research firmsUsually in corporate, research, or tech companies analyzing data to inform decisions
Industry UsageUsed in AI development, natural language processing, and machine learning projectsApplied across industries for data analysis, predictive modeling, and business insights

Temporary Retrieval Augmented Generation focuses on enhancing AI models with retrieval techniques, while Data Scientists analyze data to generate insights. Both roles require technical skills but serve different purposes within the tech and data ecosystem.

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 are popular job titles related to Temporary Retrieval Augmented Generation jobs in California? For Temporary Retrieval Augmented Generation jobs in California, the most frequently searched job titles are:
What job categories do people searching Temporary Retrieval Augmented Generation jobs in California look for? The top searched job categories for Temporary Retrieval Augmented Generation jobs in California are:
What cities in California are hiring for Temporary Retrieval Augmented Generation jobs? Cities in California with the most Temporary Retrieval Augmented Generation job openings:
Infographic showing various Temporary Retrieval Augmented Generation job openings in California as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution.

Product Manager, Retrieval-Augmented Generation and Embeddings

Google

San Jose, CA • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

Product Manager, Retrieval-Augmented Generation and Embeddings

At Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development. One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users.

Large Language Models (LLMs) need access to fresh, specialized data to give users helpful responses. Doing this at scale while keeping things flexible enough to let developers try new ideas quickly involves bridging the gaps between many infrastructure capabilities: chunking, inference, embeddings retrieval, and more. You will work with stakeholders across the Context and Understanding organization to make sure Google's AI powered experiences can leverage the Retrieval-Augmented Generation (RAG) setups to optimize cost, quality, and latency. Behind the scenes, RAG systems rely on vector (embeddings) search as a critical technology to enable fast, cheap, semantic queries. You will also work with the broader AI Foundations organization to guide the evolution of our embeddings capabilities across a number of storage and serving systems.

The Core team builds the technical foundation behind Google's flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google's products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits.

Responsibilities:

  • Partner with research teams across DeepMind, Research, and Core to advance the next-generation RAG technologies at Google, and make them available across the company.
  • Partner with clients to unlock new business opportunities by resolving critical bottlenecks in Google's RAG technologies.
  • Drive the horizontal product outlook and road map to ensure smooth and efficient journeys across multiple products in the AI Foundations portfolio.
  • Conduct client and external research to surface top client pain points and emerging opportunities.
  • Define and track success metrics for user value and developer velocity.

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