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Retrieval Augmented Generation Rag Jobs in Berkeley, CA

Senior Manager, Data Science

Richmond, 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 ...

... 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 ...

Experience building or integrating retrieval-augmented generation (RAG) systems * Experience working with enterprise security and compliance frameworks (i.e., SOC 2, GDPR, etc.) * Familiarity with ...

Apply Early

... 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 ...

Senior Manager, Data Science

Fremont, 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 ...

Senior Manager, Data Science

Oakland, 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 ...

... 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 ...

Senior Manager, Data Science

Hayward, 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 ...

... 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 ...

Senior Manager, Data Science

Berkeley, 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 ...

... 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 ...

Senior Manager, Data Science

Alameda, 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 ...

Sr AI Engineer

San Francisco, CA · On-site

$123K - $169K/yr

... Retrieval-Augmented Generation (RAG) applications using tools like Azure AI Search, vector databases, and secure enterprise connectors to deliver contextual insights. • Build and deploy agents ...

Senior Applied Researcher

San Francisco, CA · On-site

$107K - $147K/yr

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

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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 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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AI Engineer

Other

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

About Applied Business Software, Inc.,
Applied Business Software, Inc., (ABS), the maker of The Mortgage Office , is the industry leader in private lending and loan management technology. Since 1978, our software has powered thousands of lenders, including private money firms, municipalities, CDFIs, Tribal Nations, universities, franchisors, third-party servicers and other non-bank lenders, helping them streamline, automate, and scale their lending operations with confidence.
About the role
We are seeking an AI Engineer who will develop our new AI-first Loan Origination product. This role will focus on delivering production-ready, auditable, and high-performance AI system, supporting our continued growth as a SaaS business and strengthening internal processes, performance, and cross-team alignment.
What you'll do
  • Use LLMs and RAG techniques for accurate data classification. Apply rules and graph-based models to represent relationships between borrowers, entities, and assets
  • Work with team to implement agentic in-app experience that enable users to interrogate, explore, and act on data insights
  • Implement observability and feedback loops to monitor model performance, implement human-in-the-loop validation, and continuously improve accuracy over time.

Qualifications
  • 2-3 years of full-time professional experience (post-graduation) developing and managing production AI systems that use LLMs. Academic projects, internships, or part-time work during degree programs will not be considered as professional experience.
  • 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 pipelines with a strong foundation in system design, testing, CI/CD, and cloud deployment.
  • Experience with prompt engineering, fine-tuning, and evaluation methods for improving real-world model performance.

Nice to Have
  • Experience with knowledge graphs, recommendation engines, or rules engines.
  • Familiarity with AI observability and monitoring tools.
  • Good understanding of data pipelines, and model evaluation in real-world decisioning systems.
  • Collaborate with backend engineers to deploy AI models as low-latency, highly available microservices in the system.

Why Join Us?
  • Comprehensive health, dental, and vision coverage.
  • 401(k) with company funded match.
  • Mission-driven company with a 45+ year legacy and industry-leading products trusted by thousands of lenders.
  • Collaborative, supportive team known for long tenure, deep expertise, and a culture built on trust and integrity.
  • Help modernize and evolve the leading platform in private lending technology.
  • Beautiful San Mateo office with a tight-knit culture.
  • Competitive compensation and room for professional growth.
  • Performance-based bonuses.
  • Generous PTO.
  • Modern workspace with on-site amenities.
  • Awesome company Christmas party.

The pay range for this role is:
160,000 - 180,000 USD per year (San Mateo, CA)