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Remote Rag Jobs in Berkeley, CA (NOW HIRING)

Qdrant

Technical Success Manager

San Francisco, CA · Remote

... RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot ... As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel ...

Clera

AI Engineer (Mid-Level)

San Francisco, CA · Remote

$180K - $400K/yr

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure ... This role supports a remote-friendly setup with the option to work from the office as needed.

Sila

Forward Deployed Application Developer

Alameda, CA · Remote

$152K - $192K/yr

AI-Forward Features (RAG): Deploy Retrieval-Augmented Generation (RAG) patterns to build "smart ... The base pay range is subject to change and may be modified in the future. #LI-FM1 #LI-Remote ...

DocuSign

Machine Learning Engineer

San Francisco, CA · On-site +1

$164K - $266K/yr

Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context ... Employee divides their time between in-office and remote work. Access to an office location is ...

DocuSign

Senior Software Engineer

San Francisco, CA · On-site +1

$144K - $190K/yr

... RAG, MLOps, Python * Drive root cause analysis and implement long-term solutions for production ... Employee divides their time between in-office and remote work. Access to an office location is ...

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Remote Rag information

See Berkeley, CA salary details

$21

$26

$29

How much do remote rag jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote rag in Berkeley, CA is $26.33, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $27.98 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote RAG?

I'm sorry, but 'Remote Rag' does not appear to be a recognized professional occupation. Please provide a valid job title.

What is a Remote RAG?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Remote Rag jobs near you
Infographic showing various Remote Rag job openings in Berkeley, CA as of July 2026, with employment types broken down into 2% Locum Tenens, 5% As Needed, 83% Full Time, 7% Part Time, and 3% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $54,762 per year, or $26.3 per hour.

Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home

Ginas Tech Jobs

San Francisco, CA • Remote

Full-time

Medical, Dental, Vision, PTO

Posted 25 days ago

Job description

Job Description

Full Stack Engineer, AI Systems, Artificial Intelligence (AI) Required, Work From Home

We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users.  This position is 100% Remote.

Full Stack Engineer Responsibilities:

- Build end-to-end product features across frontend, backend, and AI integrations.

- Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.

- Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions.

- Design real-time AI interactions with streaming, partial results, and tight latency constraints.

- Improve system reliability, observability, and fallback mechanisms.

- Collaborate closely with ML, backend, and product teams to ship features end-to-end.

- Continuously iterate based on real usage and failure modes.

Full Stack Engineer Outcomes:

- Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows.

- Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions.

- Reduce latency and improve responsiveness of AI interactions while maintaining output quality.

- Build robust fallback and recovery mechanisms for LLM and tool failures in production environments.

- Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring.

- Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems.

- Contribute to a product experience where AI feels proactive, consistent, and dependable over time.

Qualifications

Full Stack Engineer Qualifications:

- Strong experience in Full Stack Engineering (Frontend and Backend).

- Artificial Intelligence (AI) experience required.

- Solid understanding of system design and API architecture.

- Experience working with LLMs, RAG systems, or AI-powered applications.

- Ability to handle ambiguity and make pragmatic engineering decisions.

- Strong ownership; able to take features from idea to production.

- Comfort working in fast-moving environments with evolving requirements.

- Tech Stack:  AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, and SQL.

Benefits include medical insurance, Dental, Vision, Savings Plan Options, PTO, etc.

Keywords:  San Francisco CA Jobs, Full Stack Engineer, AI, Anthropic, API, Artificial Intelligence, Backend, Docker, Frontend, Kubernetes, Next.js, Node.js, NoSQL, OpenAI, Claude, Open Source, LLM, Python, Pytorch, RAG Systems, SQL, Programming, Programmer Analyst, Software Engineer, Software Developer, Work From Home, Remote, California Recruiters, IT Jobs, California Recruiting

Looking to hire a Full Stack Engineer in San Francisco, CA or in other cities?  Our IT recruiting agencies and staffing companies can help.

We help companies that are looking to hire Full Stack Engineers for jobs in San Francisco, California and in other cities too.  Please contact our IT recruiting agencies and IT staffing companies today!


Additional Information

Please check out all of our jobs at www.ginastechjobs.com.