1

Rag Developer Jobs in Portland, OR (NOW HIRING)

Develop AI-driven features using LLMs, agentic patterns, RAG, and vector embeddings. Orchestrate ... AWS Engineering: Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for ...

Agentic DevOps Engineer

Beaverton, OR · On-site

$70K - $205K/yr

Minimum of 1 year of experience with LLMs, agentic frameworks (LangGraph, Crew AI, Autogen), and prompt engineering, RAG. * Minimum of 4 years of experience with CI/CD tools, containerization (Docker ...

This role offers hands-on experience with production-scale LLM systems and exposure to cross-functional engineering environments. Key Responsibilities Validate performance of RAG-based LLM models ...

This role offers hands-on experience with production-scale LLM systems and exposure to cross-functional engineering environments. Key Responsibilities • Validate performance of RAG-based LLM models ...

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... RAG systems, or LLM-based reasoning Knowledge of MLOps practices (CI/CD, monitoring, model ...

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model ...

Implement RAG and document intelligence patterns (ingestion, chunking, embeddings, vector/hybrid ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

Implement LLM application patterns including RAG, document ingestion/chunking, embeddings, vector ... DevOps/DevSecOps experience (CI/CD, IaC such as Terraform/CloudFormation, Docker/Kubernetes ...

next page

Showing results 1-20

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 job categories do people searching Rag Developer jobs in Portland, OR look for? The top searched job categories for Rag Developer jobs in Portland, OR are:
Infographic showing various Rag Developer job openings in Portland, OR as of June 2026, with employment types broken down into 69% Full Time, and 31% Contract. Highlights an 80% In-person, and 20% Remote job distribution.
AI Engineer

Other

Posted 16 hours ago


Job description

Role Summary
Build intelligent capabilities using LLM-based inferencing, agentic AI workflows, and RAG-based solutions leveraging AWS-native AI/ML services. Focus on inference orchestration, vector search pipelines, and lightweight model training for predictive maintenance use cases.
Key Responsibilities
LLM & Inference Engineering:
Develop AI-driven features using LLMs, agentic patterns, RAG, and vector embeddings.
Orchestrate inference pipelines with Python and AWS AI services.
Build reusable components and prompt orchestration flows.
Predictive Analytics & Light Model Training:
Support predictive maintenance using classical ML techniques.
Perform lightweight training with AWS SageMaker, AutoML, and deploy inference endpoints.
AWS Engineering:
Utilize AWS services (Lambda, API Gateway, S3, DynamoDB, SageMaker, Bedrock) for scalable AI workflows.
Python Development:
Write modular, testable Python code for inference orchestration and backend integrations.
Collaboration & Delivery:
Work with product and engineering teams; document AI workflows; participate in design reviews.
Must-Have Skills
Strong proficiency in Python.
Hands-on experience with LLM inferencing, RAG architectures, and vector embeddings.
Working knowledge of AWS AI/ML services (SageMaker, Bedrock, Lambda, etc.).
Familiarity with classical ML concepts (regression, classification, anomaly detection).
Experience integrating models into production pipelines.
Understanding of prompt engineering and evaluation.