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Remote Rag Jobs in Oregon (NOW HIRING)

Natera

Staff AI-Native Platform Engineer

OR · Remote

US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven ... Expert-level experience applying AI techniques (summarization, RAG, agentic reasoning) to real ...

Tebra

AI Automation Engineer

OR · Remote

Data/RAG Pipeline Design & Management * Develop and automate ELT/ETL processes to support both BI ... Remote

Covetrus North America LLC

Senior IT AI Automation Engineer

OR · Remote

$103K - $136K/yr

Chicago / Remote (US-based) Department: IT Operations & Engineering Company: Covetrus About Us ... Design, implement, and maintain RAG (RetrievalAugmented Generation) pipelines using enterprise data ...

Conversica

Staff AI Software Engineer

OR · Remote

RAG choices, indexing, freshness, data quality constraints, data layer design Qualification ... Conversica is a remote-first company building AI-powered solutions that help businesses engage ...

Tebra

Senior Data Engineer

OR · Remote

$105K - $143K/yr

... RAG) pipelines or vector search infrastructure. * Contributions to open-source data or ML infrastructure projects. (For Recruiter use only) #LI-SS1 #LI-Remote

Conversica

Senior AI Software Engineer

OR · Remote

$122K - $161K/yr

RAG choices, indexing, freshness, data quality constraints, data layer design Qualifications ... Conversica is a remote-first company building AI-powered solutions that help businesses engage ...

NewRocket

AI Data Intelligence Lead

OR · Remote

Remote (Occasional travel as needed) Reports to: Global AI Center of Excellence Lead Why Us ... Experience with semantic retrieval or RAG architecture * Familiarity with ServiceNow data models ...

SHI

Sr. Managed Services Engineer - AI & Copilot

OR · Remote

$104K - $143K/yr

This role is remote and requires a dedicated home office setup, with occasional travel/meetings as ... Design and operationalize Azure OpenAI and applied AI solutions (prompting, embeddings, RAG ...

Natera

Manager, Platform Engineering

OR · Remote

$166K - $172K/yr

US - Remote Experience: 8+ years in Cloud/Platform/Infrastructure Engineering. About the Role As ... Practical experience or a deep understanding of applying AI techniques, such as RAG (Retrieval ...

DataRobot

Senior AI Engineer - Professional Services

OR · Remote

$165K - $225K/yr

This is a fully remote position with no requirement to go into an office on a regular basis. There ... Building custom GenAI chatbots, Retrieval-Augmented Generation (RAG) systems. * Predictive AI:

Cresta

Strategic Solutions Engineer, East

OR · On-site +1

Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

WEX

Staff Backend Engineer (AI & Agentic Systems)

OR · On-site +1

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 ...

Cresta

Strategic Solutions Engineer, West

OR · On-site +1

Stay current on emerging technologies, including LLMs, SLMs, retrieval-augmented generation (RAG ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

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Remote Rag information

What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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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

Staff AI-Native Platform Engineer

Natera

OR • Remote

Other

Posted 9 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

47th of 103 rated laboratories

Job description

Staff AI-Native Platform Engineer (L5)

Location: US - Remote
Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven track record of leading cross-functional initiatives and influencing organizational AI strategy.

About the Role

We are looking for a visionary Staff AI-Native Platform Engineer to lead the evolution of our technical foundation. In this high-impact role, you will move beyond traditional automation to architect an AI-native ecosystem that integrates Generative AI into every layer of our Development Platform.

As a technical leader within the Platform organization, you won't just be maintaining infrastructure, you will be reimagining the developer experience (DevEx). You will be the primary advocate for GenAI, fostering a culture of "AI-first" engineering by building agentic workflows that accelerate Cloud Orchestration, CI/CD, Observability, and FinOps. We need a creative engineer who can bridge the gap between cutting-edge LLM capabilities and robust, production-grade platform tooling.

What You'll DoArchitect AI-Integrated Infrastructure

  • AI-First Development Platform: Design and build unified interfaces where AI agents manage complex tasks like environment provisioning, automated PR reviews, and self-documenting codebases.

  • Intelligent Orchestration: Embed AI-driven intelligence into CI/CD pipelines and Observability stacks to enable predictive scaling, automated incident triage, and self-healing systems.

  • Autonomous FinOps: Evolve AI-assisted FinOps workflows to automate cost attribution, anomaly detection, and optimization recommendations across AWS and other cloud environments.

  • Governance & Guardrails: Implement AI-driven governance to ensure architectural standards and security policies are met without slowing down developer velocity.

Elevate Developer Experience (DevEx)

  • Agentic Tooling: Develop production-grade internal tools that use agentic reasoning to solve "day two" operational challenges for product teams.

  • Internal Developer Portal (IDP): Integrate natural language interfaces into our IDP, allowing developers to interact with the platform through conversational AI.

  • Actionable Insights: Transform raw telemetry into "executive-ready" insights using advanced data modeling and AI-driven visualization.

Lead AI Mentorship & Evangelism

  • Strategic Advisory: Partner with senior leadership to model the technical and operational trade-offs of various AI architectural decisions (e.g., Build vs. Buy, Model Selection).

  • Team Upskilling: Act as a force multiplier by mentoring engineers on advanced AI tooling, prompt engineering for infrastructure, and the deployment of agentic systems.

  • Community Building: Stay at the forefront of the GenAI landscape, regularly sharing insights and driving the adoption of emerging tools and patterns across the organization.

What You Bring

  • Platform Expertise: 8+ years of experience in Cloud Engineering (AWS preferred), with deep knowledge of Kubernetes, Terraform/CloudFormation, and modern CI/CD patterns.

  • AI/ML Applied Logic: Expert-level experience applying AI techniques (summarization, RAG, agentic reasoning) to real-world operational workflows. You understand how to make LLMs "useful" in a production environment.

  • Advanced Programming: Expert Python skills and experience with AWS SDKs. You are comfortable building complex integrations and custom CLI/API tools.

  • The "Staff" Mindset: A history of leading large-scale, cross-functional projects. You can navigate ambiguity, build consensus across teams, and deliver measurable business impact.

  • Creative Evangelism: The ability to present complex AI concepts to both technical and non-technical stakeholders, inspiring teams to shift toward AI-native workflows.

  • Product Thinking: Experience building Internal Developer Portals (IDP) with a focus on "Platform as a Product" and user-centric design.

Bonus Points

  • Experience with LangChain, LlamaIndex, or other AI orchestration frameworks.

  • Contributions to open-source platforms or AI projects.

  • Experience with vector databases and fine-tuning models for domain-specific tasks.

What Natera employees say

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