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Retrieval Augmented Generation Rag Jobs in Berkeley, CA

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

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

Clera

AI Engineer (Mid-Level)

San Francisco, CA · On-site

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

Ōura

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 ...

Clera

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 ...

Apple

Senior Applied Researcher

San Francisco, CA

$181K - $318K/yr

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

Resolve AI

Research Engineer

San Francisco, CA · On-site

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 ...

Vercel

Software Engineer, Agent

San Francisco, CA · On-site +1

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+ ...

Walmart

Senior Manager, Data Science

San Bruno, CA

$80.25 - $107.50/hr

Lead design of GenAI platform components, including: o Orchestration and lifecycle management for LLMs and multimodal models o Retrieval-augmented generation (RAG) pipelines o Vector search and ...

RainesDev

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Design and deploy advanced Large Language Model (LLM)-powered applications using modern Retrieval-Augmented Generation (RAG) and external AI APIs. * Develop robust content understanding and ...

Cargomatic

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

... Retrieval-Augmented Generation (RAG) systems integrating structured and unstructured enterprise data • Design and implement agentic workflows using frameworks such as LangChain, LangGraph ...

The Mortgage Office

AI Engineer

San Mateo, CA · On-site

$160K - $180K/yr

Hands-on experience with agent frameworks (e.g., LangChain) and retrieval-augmented generation (RAG), including real-world implementation and operational use. * Experience building APIs and data ...

Walmart

Senior Manager, Data Science

Daly City, CA · On-site

$110K - $286K/yr

... models o Retrieval-augmented generation (RAG) pipelines o Vector search and embedding pipelines o Model serving, autoscaling, and high-availability inference systems • Architect end-to-end ...

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

As of Jul 2, 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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Retrieval Augmented Generation Rag jobs near you

AI Engineer (Mid-Level)

Clera

San Francisco, CA • On-site

Full-time

Posted 28 days ago

Job description

About the Role
This is a mid-level AI Engineer role on the core product team, focused on building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You'll work across the full stack to ship production LLM-based services, ensure reliability and safety, and collaborate with leadership, product, and design to deliver measurable user impact.
What You'll Do
  • Design, build, and maintain agentic systems that automate complex, multi-step workflows across healthcare, legal, fintech, logistics, and compliance domains.
  • Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and indexing for domain-specific search at scale.
  • Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.
  • Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level trust and reliability.
  • Ship full-stack AI products from MVP to enterprise-grade by designing APIs and data models, implementing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.
  • Collaborate with leadership, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.
What We're Looking For
  • 2-8 years of software engineering experience with demonstrated delivery of shipped user-facing or backend products.
  • Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration.
  • Proficiency across the stack: Python plus TypeScript/React (or equivalent), and experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
  • Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment to choose appropriate approaches.
  • Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos.
  • Experience with agent or workflow frameworks and orchestration tools.
  • Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration.
  • Background building multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal.
  • Experience designing API-driven, high-throughput systems and real-time product features.
  • Proven ownership delivering end-to-end features from data model to deploy and monitoring, with a user-centric and pragmatic engineering mindset.
Location
Remote or San Francisco, CA, United States.

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