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Remote Rag Jobs in Sunnyvale, CA (NOW HIRING)

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an ... Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato's Agentic AI ...

Location This is remote role based Anywhere in USA About the job you're considering Capgemini is ... Experience designing and implementing enterprise AI solutions using RAG, Vector Databases ...

New

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 ...

Remote Duration: Long term Rate: $ 100 - 120/hr Required Qualifications Experience * 10+ years of ... Retrieval-Augmented Generation (RAG) * Vector Databases MatchPoint Solutions provides equal ...

Posted today

... remote work arrangements are not being considered for this role. Relocation assistance is not ... Familiarity with Retrieval-Augmented Generation (RAG), vector databases, semantic search, and Model ...

... 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 ...

Location Remote - United States preferably Bay Area location About the Role Step into Arango ... RAG pipelines, embeddings, chunking strategies, and evaluation. You recognize that retrieval ...

Location Remote - United States preferably Bay Area location About the Role Step into Arango ... RAG pipelines, embeddings, chunking strategies, and evaluation. You recognize that retrieval ...

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Remote Rag information

See Sunnyvale, CA salary details

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How much do remote rag jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for remote rag in Sunnyvale, CA is $25.24, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $26.78 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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Forward Deployed Engineer

Workato

Palo Alto, CA • On-site, Remote

Full-time

Re-posted 24 days ago


Job description

About Workato

Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato's cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.workato.com

Why join us?

Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company.

But, we also believe in balancing productivity with self-care. That's why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives.

If this sounds right up your alley, please submit an application. We look forward to getting to know you!

Also, feel free to check out why:

  • Business Insider named us an "enterprise startup to bet your career on"

  • Forbes' Cloud 100 recognized us as one of the top 100 private cloud companies in the world

  • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America

  • Quartz ranked us the #1 best company for remote workers

Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team.. In this role, you will be responsible for designing, developing, and deploying advanced AI agentic solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience, and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

  • Implement agent-based AI solutions using the Workato Agentic AI platform

  • Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

  • Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato's Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

  • Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows

  • Act as a technical solutions expert with strong aptitude for troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform

  • Develop and maintain robust, scalable, AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform

  • Continuously monitor and improve AI system performance, ensuring efficiency and reliability

  • Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation

  • Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment

  • Contribute to internal process improvements and promote knowledge sharing by adding to Workato's knowledge base

  • Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise

  • Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs

  • Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences

RequirementsQualifications / Experience / Technical Skills
  • BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field

  • A total of 4+ years of relevant experience in design, development, and implementation.

  • 1+ year of experience with Workato or similar workplace orchestration and integration platform, is a must

  • Proven experience in AI engineering, with a focus on agent-based systems

  • Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations

  • Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases

  • Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus

  • Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL

  • Hands-on experience with any of the following: Java, Python, or Ruby

  • Technical background or a solid understanding of technology and industry trends, especially in the app integration space

  • Experience working with cloud business apps like Workday, NetSuite, Salesforce and ServiceNow - Marketo is a plus

  • Good knowledge of microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus

Soft Skills / Personal Characteristics
  • Strong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impact

  • Strong critical thinking and analytical skills, with an entrepreneurial and proactive mindset
  • Ability to effectively prioritize tasks and manage time, even under high-pressure situations

  • Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

  • Fast learner who can independently conduct extensive research, and synthesize ideas, information, and options quickly

  • Proactive in solving problems and ready to take on additional initiatives and responsibilities as they emerge

For candidates based in California, New York, and Colorado the expected salary range for this role is $70,000–$100,000 not including bonus. Actual compensation will vary based on experience, qualifications, and location. This role may also be eligible for equity and benefits.

Job Req ID: 2615