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Remote Rag Jobs in Berkeley, CA (NOW HIRING)

Aprio

Senior AI Product Associate, IT

San Francisco, CA · On-site +1

$104K - $160K/yr

Exposure to agentic AI workflows, RAG architectures, or LLM integration patterns. * Familiarity ... remote and hybrid options What's in it for you: - Working with an industry leader : Be part of a ...

TriNet

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

RAG (Retrieval-Augmented Generation) * Generative AI technologies * AI agent development Additional ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

WEX

Senior Backend Engineer - AI Platform

San Francisco, CA · On-site +1

$144K - $190K/yr

This is a remote position; however, the candidate must reside within 30 miles of one of the ... Design solutions for context management, memory, and retrieval-augmented generation (RAG) to ...

Stoel

e-Discovery Project Manager

San Francisco, CA · Remote

$84K - $184K/yr

... and RAG. ESSENTIAL FUNCTIONS/RESPONSIBILITIES * As a subject matter expert for e-discovery, the ... remote work options. We offer competitive and robust medical, dental, vision, life long-term ...

Mainspring Energy

Principal AI Architect

Menlo Park, CA · On-site +1

$227K - $280K/yr

... use capabilities (RAG) * Build vs. Buy Strategy: Act as the technical authority on whether to ... remote candidates . The salary will be adjusted to reflect local market conditions based on ...

TriNet

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

RAG (Retrieval-Augmented Generation) * Generative AI technologies * AI agent development Additional ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

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All JobsRemote Rag JobsRemote Rag Jobs in Berkeley, CA

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How much do remote rag jobs pay per hour?

As of Jul 3, 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, and why are they important?

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 (Retrieval-Augmented Generation) specialist?

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 (Responsible AI Governance) 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 June 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $54,762 per year, or $26.3 per hour.
AI/ML Engineer (Mid-level to Principal)

AI/ML Engineer (Mid-level to Principal)

Prophecy

San Francisco, CA • On-site, Remote

Other

Medical, Dental, Vision, Life, PTO

Posted 11 hours ago

Job description

About Prophecy 

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the world's top enterprises turn data chaos into reliable insights. We introduce the AI-native data lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship trusted insights at enterprise scale. To learn more, visit us on LinkedIn.

The Role

You'll own the intelligence layer at Prophecy: the AI systems that let our agents understand data schemas, generate correct transformations, and reason over enterprise knowledge. This isn't a role where you implement someone else's spec - you make the calls on agent architecture, model selection, quality evaluation, and build vs. buy. The scope scales with you; strong engineers have enormous leverage here regardless of title.

What You'll Own

Agent design and quality. Architect multi-step AI agents end-to-end - problem decomposition, context retrieval, error recovery, output quality. Set the bar, build the evals, own the improvement loop.

Retrieval and knowledge systems. Own the RAG pipelines, vector and graph-based retrieval, and knowledge representations that let agents reason accurately over customer schemas, lineage, and semantics.

Code generation and data transformation. Own the AI layer behind Prophecy's core capability - natural language to production-grade transformations: prompt design, model selection, fine-tuning, output validation.

Production AI. Make AI that works in the lab work at scale - latency, throughput, observability, knowing when to optimize a model vs. restructure a system.

Who You Are

You've built coding agents or AI systems in production and owned them when things break. You think in failure modes and evaluation strategy, not capability demos. You make architectural decisions under uncertainty and know when to move fast versus when to do it right.

You're a builder who loves picking up new technologies - in a field where last year's best practice may already be obsolete, that instinct matters. You have a strong perspective on how coding agents should work and bring it to design discussions, not just implementation.

Experience level is flexible; what matters is the track record. We'd expect 4-6+ years in software engineering with meaningful AI/ML depth.

Stack and Background We Value

Python is the primary language. Retrieval infrastructure spans vector databases and knowledge graphs (Neo4j), backed by AWS and Kubernetes. Scala and Go are meaningful plusses - our language compiler and orchestrator are built on them. Our platform integrates with Databricks, Snowflake, BigQuery, DuckDB, and Spark; experience with any of these, or with data processing and analytics broadly, is genuinely valuable.

Location: San Mateo office, 2-3 days/week

Compensation: $250,000-$350,000 base + equity, calibrated to level.

Benefits and Perks 

  • Prophecy covers 99% of employee health insurance premiums and 75% for dependents
  • We offer $200 per month towards remote work, wellness, gyms, massages, facials, and more!
  • Flexible PTO
  • Professional development allowance
  • Company sponsored Long Term Disability and Life Insurance, FSA/HSA, dental, vision, and more
  • Ability to have your fingerprint on an innovative platform
  • End-to-end ownership of your projects. 

*Benefits and perks may vary per country

Prophecy is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, age, disability, or veteran status.

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