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Rag Developer Jobs in Oregon (NOW HIRING)

OR · On-site

$124K - $148K/yr

... developer responsible for building and maintaining the core software components that power our AI ... Work on the "Context Fabric" to implement search and retrieval patterns (like RAG) that help agents ...

OR · On-site

Deep domain knowledge across enterprise data platform, including data engineering and pipeline acceleration, post-training data preparation and curation, data pipeline for RAG and semantic search.

OR · On-site

$114K - $137K/yr

... developer experience. About the role As a Senior Software Engineer specializing in Python and the ... stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML ...

OR · On-site

... developer productivity tools across our product portfolio. * Develop and optimize LLM solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), vector databases ...

Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ... Previous experience in open source or developer-focused SaaS companies -Grafana is built on OSS and ...

OR · On-site

$104K - $143K/yr

As a Senior AI Engineer , you will collaborate with machine learning engineers, data engineers ... Build RAG systems: Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid ...

Principal Software Engineer, AI

OR · On-site +1

$134K - $180K/yr

... RAG engines, and retrieval/search infrastructure - that give AI agents access to the best possible ... Define and evolve the APIs, SDKs, and developer interfaces that teams use to interact with the ...

Architect data flows for retrieval-augmented generation (RAG), connecting LLMs to internal ... in developer productivity. You'll have access to AI coding assistants (Claude Code, Gemini CLI ...

OR · On-site

RAG, LLM orchestration, agentic workflows, and modern AI evaluation and guardrails. You see AI tools as essential infrastructure for modern engineering. * You can rapidly prototype with modern tools ...

Be Seen First

Implement prompt engineering pipelines, retrieval-augmented generation (RAG) patterns, and AI response validation for production use * Evaluate emerging AI models and APIs for cost/performance fit ...

Be Seen First

Implement prompt engineering pipelines, retrieval-augmented generation (RAG) patterns, and AI response validation for production use * Evaluate emerging AI models and APIs for cost/performance fit ...

Senior Software Engineer

Beaverton, OR · On-site

$127K - $168K/yr

Senior Software Engineer- NIKE, Inc.- Beaverton, OR. Serve as an integral member of a multi ... RAG) • Data Governance Apply at www.Nike.com/Careers (Job# R-84908) #LI-DNI We offer a number of ...

OR · On-site

A strong background in AI/ML and experience with independent projects using LLMs, foundation models, or RAG. * System Design: A solid understanding of software engineering principles, including APIs ...

OR · On-site

... RAG, vector stores, or orchestration frameworks). * Hands-on experience partnering with engineering or data science to market/sell AIpowered capabilities (e.g., retrieval architectures, prompts ...

OR · On-site

We are seeking a highly technical Senior Developer Relations Manager to join NVIDIA's Retail team ... RAG pipelines). * Strong proficiency in Python, Docker, Kubernetes, and Linux-based environments.

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Rag Developer information

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or engineering management can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries like technology or finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.

What is the difference between Rag Developer vs Textile Technician?

AspectRag DeveloperTextile Technician
CredentialsTypically requires a diploma or degree in textiles or related fieldRequires similar qualifications, often with additional certifications in textile testing
Work EnvironmentFactories, textile mills, production plantsLaboratories, quality control departments, manufacturing facilities
Industry UsageUsed in textile manufacturing to develop and process rags for reuse or recyclingInvolved in testing, quality assurance, and technical support in textile production

Both Rag Developers and Textile Technicians work within the textile industry, often in manufacturing settings. Rag Developers focus on creating and processing recycled rags, while Textile Technicians handle testing and quality control. The roles share similar educational backgrounds and work environments, but their specific responsibilities differ based on their focus within textile production.

What job makes $10,000 a month without a degree?

A Rag Developer, or similar specialized freelance or contract roles in software development, can earn $10,000 or more per month without a formal degree by demonstrating strong coding skills, experience, and a portfolio. High-demand skills in programming languages, web development, or app creation often lead to such income levels through freelance projects or consulting work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies and may involve responsibilities like developing innovative algorithms or managing AI projects, with compensation reflecting expertise and experience.

What jobs pay $2000 a day?

For a Rag Developer or similar high-skilled tech roles, earning $2000 a day typically requires extensive experience, specialized skills, and often freelance or contract work. Such high daily rates are common in consulting, software development, or project management for large organizations or clients. These positions often demand advanced certifications, a strong portfolio, and the ability to deliver complex solutions efficiently.
What are popular job titles related to Rag Developer jobs in Oregon? For Rag Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Rag Developer jobs in Oregon look for? The top searched job categories for Rag Developer jobs in Oregon are:
What cities in Oregon are hiring for Rag Developer jobs? Cities in Oregon with the most Rag Developer job openings:
Software AI Engineer Mid-Level, Context Engineering

Software AI Engineer Mid-Level, Context Engineering

WEX

OR • On-site

$124K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


WEX Inc. rating

8.1

Company rating: 8.1 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

7th of 17 rated payment service providers


Job description

As an AI Platform Engineer (SDE 2), you will be a hands-on developer responsible for building and maintaining the core software components that power our AI and context infrastructure. You will work on the "Context Layer"-the plumbing that connects enterprise data to LLMs-ensuring that our AI agents have the right information at the right time. This role is ideal for a strong software engineer who wants to specialize in the operational side of AI, focusing on high-quality code, automated delivery, and cloud-native systems.

Key Responsibilities
  • Feature Development: Implement and maintain core services for the AI Data Lakehouse, focusing on efficient data retrieval and storage optimizations for AI workflows.

  • Pipeline Automation: Build and support CI/CD pipelines to automate the deployment of AI models, prompt templates, and infrastructure updates.

  • Agentic Support: Develop and test tool-execution environments and API interfaces that allow AI agents to interact with internal business systems safely.

  • Operational Excellence: Participate in on-call rotations and troubleshooting to ensure platform reliability. Write unit tests, integration tests, and documentation for new features.

  • Context Retrieval: Work on the "Context Fabric" to implement search and retrieval patterns (like RAG) that help agents access secure enterprise data.

  • Cloud Management: Assist in managing cloud resources across AWS and Azure, ensuring environments are cost-effective and secure.

Qualifications & Experience

Software Engineering Foundation

  • Experience: 3+ years of professional software development experience.

  • Core Skills: Strong proficiency in Python and either Java or Scala. You write clean, maintainable, and well-documented code.

  • API Development: Experience building and consuming RESTful APIs or gRPC services.

  • Database Basics: Understanding of relational databases (Postgres/MySQL) and familiarity with how data is stored in a distributed environment.

Cloud & CI/CD Mastery

  • Cloud Consoles: Hands-on experience navigating the AWS or Azure Management Consoles. You should be comfortable managing basic services like IAM, S3/Blob, and compute instances.

  • Infrastructure-as-Code (IaC): Basic experience with Terraform. You can read, modify, and deploy infrastructure modules.

  • CI/CD Tools: Familiarity with GitHub Actions, GitLab CI, or Jenkins. You understand how to automate the build-test-deploy lifecycle.

  • Observability: Basic experience with monitoring tools like Prometheus, Grafana, or cloud-native solutions (CloudWatch/Azure Monitor).

AI & Agentic Interests (Specialized Focus)

  • LLM Awareness: Familiarity with LLM concepts and frameworks like LangChain or LlamaIndex. You've experimented with or built basic RAG-based applications.

  • Emerging Protocols: A desire to learn and implement new standards like the Model Context Protocol (MCP).

  • Agentic Workflows: Interest in how autonomous agents function, including tool-use (function calling) and state management.

  • Data Retrieval: Basic understanding of vector databases (e.g., Pinecone, Milvus) and how search impacts AI performance.

Leadership & Education
  • Team Player: Ability to work effectively in an agile environment, participating in sprint planning and daily stand-ups.

  • Continuous Learner: A strong desire to stay current with the rapidly changing AI and cloud landscape.

  • Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field.

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.Pay Range: $124,700.00 - $148,800.00

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