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Remote Rag Jobs in Berkeley, CA (NOW HIRING)

Pryon

Solutions Architect

San Francisco, CA · Remote

$64.50 - $85/hr

Now we're building an industry-leading knowledge management and Retrieval-Augmented Generation (RAG ... Benefits for Full Time Employees: - Remote first organization - 100% Company paid Health/Dental ...

Apply Early

Hercules

AI Context & Harness Engineer

San Francisco, CA · On-site +1

$100K - $250K/yr

... RAG, skills, etc * Yes, we know this industry is evolving rapidly and the "best practices" change ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

Workato

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ... Explore workflow‑aware planning, cost‑optimised RAG, tool‑use evaluation, and multi‑agent ...

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Vercel

Software Engineer, Agent

San Francisco, CA · On-site +1

... remote. For location-specific details, please connect with our recruiting team. What you will do ... RAG) pipelines that ground the agent in accurate, up-to-date knowledge. About you: * 7+ years of ...

GC AI

Applied AI Engineer

San Mateo, CA · On-site +1

$165K - $350K/yr

Experience with RAG systems and LLM evaluation. * Familiarity with legal domain or legal text ... Location Policy This is a remote role unless you fall within the following parameters. If you live ...

Qdrant

Head of Marketing

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 ...

6sense

Sr. Data Scientist

San Francisco, CA · Remote

$162K - $238K/yr

RAG Architectures * Vector Databases * Prompt Engineering * Hands-on experience with PyTorch and/or ... remote Notice of Collection and Use of Personal Information for California Residents: California ...

DocuSign

Sr. AI Engineer

San Francisco, CA · On-site +1

$65 - $83.75/hr

... Augmented Generation (RAG), embedding and vector-search architectures and tool-calling and ... Employee divides their time between in-office and remote work. Access to an office location is ...

SightCall

Solutions Engineer - USA

Redwood City, CA · Remote

USA (Remote-in-country, with up to 25% travel nationwide) As a Solutions Engineer at SightCall, you ... LLM/RAG basics, embeddings/vector DB concepts, prompt engineering, OCR/visual detection concepts ...

DocuSign

Software Engineer

San Francisco, CA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience building platform-level services for LLM orchestration, RAG architectures, and ...

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Showing results 1-20

All JobsRemote Rag JobsRemote Rag Jobs in Berkeley, CA

Remote Rag information

See Berkeley, CA salary details

$21

$26

$29

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.
What are the most commonly searched types of Rag jobs in Berkeley, CA? The most popular types of Rag jobs in Berkeley, CA are:
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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.
Sr. Software Engineer, Data & AI Platform

Sr. Software Engineer, Data & AI Platform

BetterWorks Systems, Inc.

Menlo Park, CA • Remote

$144K - $190K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 27 days ago

Job description

About Betterworks

Betterworks is HR software to align, develop, and activate your workforce for business growth. Organizations are able to replace outdated, ineffective, universally loathed annual review processes with powerful Continuous Performance Management programs that help managers be better at the conversations, coaching, and development necessary to inspire and motivate the entire workforce to achieve an organization's top priorities today and be ready for tomorrow's challenges.

This is a fully remote position.

Join our Data & AI Platform team as a Sr. Software Engineer and play a key role in shaping the future of our AI platform. 

As a Sr. Software Engineer, Data & AI Platform at Betterworks, you'll have a significant impact, collaborating closely with design, engineering, and product teams to build and scale a world-class Data and Generative AI platform. We're looking for someone who possesses deep expertise in platform engineering, a passion for crafting robust and scalable data and AI infrastructure, and the ability to contribute to a high-performing team.

What You Will Do

  • Design, develop, and enhance core features of our data and AI platform, focusing on robust, scalable, and resilient cloud distributed services and architecture.

  • Champion best practices in platform engineering, including CI/CD, testing, and observability for data and AI-specific workloads. Experience with GitHub Actions is a plus.

  • Proactively identify and troubleshoot performance bottlenecks and infrastructure challenges within the AI platform, ensuring optimal application performance and reliability.

  • Contribute to the evolution of our platform architecture, exploring and evaluating new technologies and approaches in Data pipelines, self-hosting, and self-managing Generative AI, LLMOps, and scalable distributed systems.

  • Possess deep experience with Observability tools for logging, tracing, monitoring, alertings and dashboards like New Relic, Prometheus, and Grafana.

  • Leverage deep expertise in containerization and orchestration technologies, specifically Kubernetes and Docker, to manage and scale the AI infrastructure.

  • Collaborate closely with product managers, data scientists, and engineering stakeholders to translate Generative AI and platform requirements into detailed technical specifications.

  • Mentor and guide junior engineers, fostering a collaborative and supportive team environment focused on platform excellence.

  • Stay up-to-date with emerging technologies and trends in Data & AI platform development and Generative AI, sharing your knowledge with the team.

  • Knowledge of advanced Gen AI concepts including , embedding, Vector DBs, Retrieval-Augmented Generation (RAG), Fine-tuning, Inference optimization, evaluation, guardrails, Model Context Protocol (MCP) clients/servers and Agentic AI is a significant plus.

What You Bring

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • 5-8 years of professional experience in software development, with a strong focus on backend or platform engineering.

  • Deep expertise in Python (must have) and other modern languages Typescript or Go, and experience building complex, scalable microservice-based or event-driven backend systems.

  • Proven hands-on experience with AWS services is essential, especially for large-scale, high-performance workloads.

  • Strong understanding of backend architecture patterns and best practices for building scalable and maintainable applications (Microservices, Integrations, Observability).

  • Experience or strong interest in Generative AI, Operations (MLOps), and developing components like RAG, Inference services, and Evaluation pipelines.

  • Familiarity with event-driven architecture (EDA), message queues and asynchronous processing (Kafka, RabbitMQ).

  • Experience with backend frameworks and technologies: FastAPI, NestJS, Postgres etc.

  • Proficiency in writing unit, integration, and end-to-end tests for platform applications.

  • Excellent problem-solving and debugging skills for complex distributed systems.

  • Strong communication and collaboration skills, with an ability to lead technical discussions and projects.

  • Experience using AI-powered development tools (GitHub Copilot, MCP servers, AI IDEs) to enhance productivity and code quality is a plus.

  • Self-motivation to explore the new AI technologies from experimentation to production at scale.

What We All Do

All employees are required to participate in information security awareness and training programs.

All employees are responsible for handling data in accordance with data classification and handling guidelines. Employees should be aware of the sensitivity of the data they interact with and follow appropriate security measures.

All employees have a responsibility for reporting information security incidents in accordance with information security policies and procedures.

All employees share the responsibility of being aware of information security risks and adhering to information security policies and procedures.

What Makes Betterworks Unique

At Betterworks, we prioritize our people. In that spirit, we've put together a great benefits program to support our employees' health and wellness that includes the following:

Leadership: CEO Doug Dennerline is truly a mission-driven leader. He has been a sales leader for over 25 years and has a direct impact on the work people do every day.

Funding: $129 million, Serious B with top-tier investors, including Kleiners Perkins, Emergence Capital, and 8VC.

Board of Directors: Since the beginning of Betterworks, our board includes industry icons such as John Doerr (who introduced OKRs to Google), Bruce Felt (Founder of Renaissance Software and a trusted advisor to numerous private and public companies), Bing Gordon (Renowned Technology Venture Capitalist with experience on boards like Amazon, Duolingo and Zynga) and Jason Green (Founder of Emergence Capital and Greenbridge Foundation).

Perks: 100% paid Medical/Vision/Dental for employees, Flexible time off, Parental Paid Leave policy, monthly internet stipend, flex days, and more.

Product: Selected by Lighthouse Research & Advisory and UNLEASH America, Betterworks has officially been named a 2025 HR Tech Award winner for Best Comprehensive Talent Management Solution. Also, Betterworks wins Newsweek's AI Impact Award for Best Outcomes in HR, 2025.

Mission Driven: Our mission is to provide the expertise and technology that companies need to inspire, develop, and activate their workforce to meet today's goals and be ready for tomorrow's challenges.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to an inclusive and diverse Betterworks. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global BetterWorks Community. We welcome people of different backgrounds, experiences, abilities, and perspectives, and are an equal-opportunity employer.

Apply