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Retrieval Augmented Generation Rag Jobs in Berkeley, CA

Exposure to Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or AI orchestration framewor * ks.Strong understanding of software engineering best practices, including testing, CI ...

Exposure to Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or AI orchestration framewor * ks.Strong understanding of software engineering best practices, including testing, CI ...

Exposure to Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or AI orchestration framewor * ks.Strong understanding of software engineering best practices, including testing, CI ...

Data Engineer 4

Fremont, CA · On-site

$119K - $261K/yr

Build AI-ready data assets for machine learning and generative AI applications, including vector search, Retrieval-Augmented Generation (RAG), graph-based use cases, and semantic data models.

Exposure to Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or AI orchestration framewor * ks.Strong understanding of software engineering best practices, including testing, CI ...

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...

Senior Data Architect

San Francisco, CA

$79.25 - $106/hr

Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI. * Standardization: Establish scalable data management frameworks and a ...

Senior Data Architect

San Francisco, CA · On-site +1

$79.25 - $106/hr

Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI. * Standardization: Establish scalable data management frameworks and a ...

Retrieval-augmented generation (RAG) pipelines and vector-based semantic search systems Representation learning and semantic embeddings for clustering, categorization, and content understanding Model ...

Senior Data Architect

San Francisco, CA · On-site

$79.25 - $106/hr

Design vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM reporting and Agentic AI. • Standardization: Establish scalable data management frameworks and ...

AI Engineer (Mid-Level)

San Francisco, CA · On-site

$180K - $400K/yr

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...

Experience with Reinforcement Learning (RLHF/RLCEF), Retrieval-Augmented Generation (RAG), or multi-agent AI systems Why Join Resolve AI? * Make a Real Impact : Join a mission-driven team tackling ...

Collaborate with other engineers on prompt engineering, model evaluation, and retrieval-augmented generation (RAG) pipelines that ground the agent in accurate, up-to-date knowledge. About you: * 7+ ...

... Retrieval-Augmented Generation (RAG) pipelines. • Collaborate closely with cross-functional teams to enhance platform capabilities. Qualifications : Required : • Strong familiarity with Large ...

Deep knowledge of modern AI technologies, including LLMs, tokenization, prompt engineering, retrieval-augmented generation (RAG), vector databases, GPUs, cloud AI infrastructure, and AI software ...

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Retrieval Augmented Generation Rag information

See Berkeley, CA salary details

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How much do retrieval augmented generation rag jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for retrieval augmented generation rag in Berkeley, CA is $24.79, according to ZipRecruiter salary data. Most workers in this role earn between $21.20 and $25.91 per hour, depending on experience, location, and employer.
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Senior AI Product Engineer

Senior AI Product Engineer

Harnham

Alameda, CA • On-site

$192/hr

Other

Posted 7 days ago


Job description

Senior AI Product Engineer

San Francisco, CA (Hybrid)

$192-260K base + Equity



We're partnering with a high-growth B2B SaaS business that's investing heavily in AI and looking to hire a Senior AI Product Engineer to help shape the next generation of customer-facing AI experiences across its platform

.This is an opportunity to work at the intersection of product engineering and AI, building intelligent features that solve complex real-world problems. You'll work closely with AI engineers, product managers, and designers to transform large language models into intuitive, production-ready experiences used by enterprise customers every day


.
What you'll

  • doDesign and build customer-facing AI features using React, TypeScript, Node.js, and Pytho
  • n.Develop AI-powered assistants, copilots, and intelligent workflows that automate complex user task
  • s.Collaborate with AI engineers to integrate LLMs, RAG pipelines, and agentic workflows into production application
  • s.Build responsive, reusable frontend components and streaming AI interfaces that deliver exceptional user experience
  • s.Apply software engineering best practices across testing, CI/CD, observability, version control, and performance optimisatio
  • n.Partner with Product and Design teams to rapidly iterate on AI features using customer feedback and usage dat
  • a.Help define engineering standards and reusable patterns for building scalable AI-powered application


s.
What we're looking

  • for7+ years' experience building modern full-stack web applications within high-growth SaaS or technology business
  • es.Strong commercial experience with React, TypeScript, and modern frontend development, alongside backend development using Node.js and/or Pyth
  • on.Hands-on experience building production AI applications using LLM APIs such as OpenAI, Anthropic, or simil
  • ar.Experience delivering customer-facing AI products, including copilots, AI assistants, intelligent search, chat interfaces, or workflow automati
  • on.Exposure to Retrieval-Augmented Generation (RAG), AI agents, prompt engineering, or AI orchestration framewor
  • ks.Strong understanding of software engineering best practices, including testing, CI/CD, scalable architecture, and observabili
  • ty.Excellent communication skills and a product mindset, with the ability to work collaboratively across Engineering, Product, and Design tea


ms.