Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production. - Entrepreneurial team: We move fast, experiment often, and ship real products ...
New
Advanced AI Tech: Hands-on with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol). * Data & ML: Strong ability to analyze logs/telemetry and implement ML Anomaly Detection ...
Advanced AI Tech: Hands-on with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol). * Data & ML: Strong ability to analyze logs/telemetry and implement ML Anomaly Detection ...
Advanced AI Tech: Hands-on with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol). * Data & ML: Strong ability to analyze logs/telemetry and implement ML Anomaly Detection ...
Quick apply
Advanced AI Tech: Hands-on with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol). * Data & ML: Strong ability to analyze logs/telemetry and implement ML Anomaly Detection ...
Advanced AI Tech: Hands-on with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol). * Data & ML: Strong ability to analyze logs/telemetry and implement ML Anomaly Detection ...
Quick apply
Advanced AI Tech: Hands-on with RAG (Retrieval-Augmented Generation) and MCP (Model Context Protocol). * Data & ML: Strong ability to analyze logs/telemetry and implement ML Anomaly Detection ...
Sr. Machine Learning Engineer - AI
Seattle, WA · On-site
$157.44 - $236.20/hr
Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; * Design and maintain data ingestion ...
New
Sr. Machine Learning Engineer - AI
Seattle, WA · On-site
$157.44 - $236.20/hr
Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; * Design and maintain data ingestion ...
New
Sr. Machine Learning Engineer - AI
Seattle, WA · On-site
$139K - $183K/yr
Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; * Design and maintain data ingestion ...
Sr. Machine Learning Engineer - AI
Seattle, WA · On-site
$139K - $183K/yr
Develop and maintain AI-driven search and ranking algorithms for enterprise-scale information retrieval and RAG (Retrieval-Augmented Generation) systems; * Design and maintain data ingestion ...
Fullstack AI Engineer
Redmond, WA · On-site
Apply practical AI techniques such as prompt engineering, grounding, retrieval-augmented generation, tool/function calling, model evaluation, multimodal workflows, and responsible use of LLMs and ...
Fullstack AI Engineer
Redmond, WA · On-site
Apply practical AI techniques such as prompt engineering, grounding, retrieval-augmented generation, tool/function calling, model evaluation, multimodal workflows, and responsible use of LLMs and ...
Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis * Collaborate with materials scientists, computational chemists ...
Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis * Collaborate with materials scientists, computational chemists ...
Data Scientist, WW Ops FP&A
Bellevue, WA · On-site
... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...
Data Scientist, WW Ops FP&A
Bellevue, WA · On-site
... Retrieval-Augmented Generation (RAG) systems and LLM-based solutions to enhance financial knowledge retrieval and decision support Proactively identify and solve challenges related to GenAI solutions ...
Sr. Backend Engineer - Python/Java & Kafka C2C contract
Bellevue, WA · On-site
$140 - $190/hr
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent ...
New
Sr. Backend Engineer - Python/Java & Kafka C2C contract
Bellevue, WA · On-site
$140 - $190/hr
Hands-on experience with AI productivity tools (Claude and Cursor or similar IDE) and working knowledge of foundation models, prompt engineering, retrieval-augmented generation (RAG), and AI agent ...
New
Java Developer + AWS-Bellevue, WA (Onsite)
Bellevue, WA · On-site
$57.50 - $74.50/hr
... Retrieval-Augmented Generation (RAG), fine-tuning, vector databases, and agent orchestration frameworks (LangGraph, CrewAI). - Understanding of enterprise security protocols: SSO (SAML/OIDC), RBAC ...
Java Developer + AWS-Bellevue, WA (Onsite)
Bellevue, WA · On-site
$57.50 - $74.50/hr
... Retrieval-Augmented Generation (RAG), fine-tuning, vector databases, and agent orchestration frameworks (LangGraph, CrewAI). - Understanding of enterprise security protocols: SSO (SAML/OIDC), RBAC ...
Machine Learning Engineer (LLM)- E-commerce Risk Control
Seattle, WA · On-site
$148K - $300K/yr
... Retrieval-Augmented Generation (RAG) - LangChain-based agents for task decomposition and external knowledge integration - Design prompt engineering and reasoning workflows that connect structured ...
Machine Learning Engineer (LLM)- E-commerce Risk Control
Seattle, WA · On-site
$148K - $300K/yr
... Retrieval-Augmented Generation (RAG) - LangChain-based agents for task decomposition and external knowledge integration - Design prompt engineering and reasoning workflows that connect structured ...
We're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document ...
We're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document ...
We're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document ...
We're seeking a Software Development Engineer to join the AWS Quick RAG team, working on cutting-edge retrieval-augmented generation technology that powers Amazon Quick Suite's intelligent document ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Retrieval, grounding & context engineering Develop end-to-end Retrieval-Augmented Generation (RAG) pipelines: ingestion, chunking, embeddings, vector and hybrid retrieval, reranking, contextual ...
Senior Machine Learning System Engineer
Seattle, WA · On-site +1
$118K - $162K/yr
Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...
Senior Machine Learning System Engineer
Seattle, WA · On-site +1
$118K - $162K/yr
Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...
Senior Machine Learning System Engineer
Seattle, WA · On-site +1
$118K - $162K/yr
Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...
Senior Machine Learning System Engineer
Seattle, WA · On-site +1
$118K - $162K/yr
Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...
Senior Machine Learning System Engineer
Seattle, WA · On-site +1
$118K - $162K/yr
Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...
Senior Machine Learning System Engineer
Seattle, WA · On-site +1
$118K - $162K/yr
Agentic Search & Retrieval Design retrieval systems purpose-built for agentic and RAG (Retrieval-Augmented Generation) use cases, including personalized indexes, grounding pipelines, and multi-step ...
Software Engineer Graduate (Global E-commerce-Search) - 2027 Start
Seattle, WA · On-site
$121K - $243K/yr
... retrieval-augmented generation, or agentic systems. - Performance profiling, Linux development, production debugging, competitive programming, or relevant publications. By submitting an application ...
New
Software Engineer Graduate (Global E-commerce-Search) - 2027 Start
Seattle, WA · On-site
$121K - $243K/yr
... retrieval-augmented generation, or agentic systems. - Performance profiling, Linux development, production debugging, competitive programming, or relevant publications. By submitting an application ...
New
Entrylevel Retrieval Augmented Generation information
See Seattle, WA salary details
$36.4K - $41K
12% of jobs
$44.5K is the 25th percentile. Wages below this are outliers.
$41K - $45.5K
17% of jobs
$45.5K - $50.1K
13% of jobs
$50.1K - $54.6K
8% of jobs
The median wage is $54.8K / yr.
$54.6K - $59.2K
12% of jobs
$59.2K - $63.7K
5% of jobs
$63.7K - $68.3K
5% of jobs
$70.8K is the 75th percentile. Wages above this are outliers.
$68.3K - $72.8K
5% of jobs
$72.8K - $77.4K
6% of jobs
$77.4K - $81.9K
6% of jobs
$81.9K - $86.5K
10% of jobs
$36.4K
$59.3K
$86.5K
How much do entrylevel retrieval augmented generation jobs pay per year?
As of Aug 8, 2026, the average yearly pay for entrylevel retrieval augmented generation in Seattle, WA is $59,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $74,000.00 per year, depending on experience, location, and employer.
What are popular job titles related to Entrylevel Retrieval Augmented Generation jobs in Seattle, WA? For Entrylevel Retrieval Augmented Generation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entrylevel Retrieval Augmented Generation jobs in Seattle, WA look for? The top searched job categories for Entrylevel Retrieval Augmented Generation jobs in Seattle, WA are:
Amazon rating
7.4
Based on 7,066 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high-quality sites across the web, and on millions of Kindles, tablets, and mobile devices. We start with the customer and work backwards in everything we do, including advertising
If you're interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you've come to the right place.
We are looking for a Software Development Engineer to join our team and help enhance MCP data retrieval and analytics tools, the backbone that powers our AI agents. You will design and implement the systems that aggregate, structure, and serve advertiser context to our agents, enabling AI-driven workflows that help account teams deliver better outcomes for advertisers at scale.This is a greenfield opportunity to define how advertiser knowledge is represented, retrieved, and reasoned over by autonomous agents. You will work at the intersection of large-scale data systems, Generative AI, and production agent frameworks to build context services that are fast, reliable, and rich enough to power intelligent sales workflows.
Why You Will Love This Opportunity
- Impact at scale: Your work powers AI agents used by thousands of account team members serving Amazon's largest advertisers globally.
- Greenfield architecture: The advertiser context center is being built now, you'll shape the data models, retrieval patterns, and APIs from the ground up.
- AI-native development: Work hands-on with agent frameworks, retrieval-augmented generation pipelines, and LLM-powered systems in production.
- Entrepreneurial team: We move fast, experiment often, and ship real products
Small team, big mandate.
- Career growth: Amazon Advertising is one of the fastest growing businesses at Amazon, with high visibility to senior leadership.
Key job responsibilities
- Design and build scalable services that aggregate, transform, and serve advertiser context (account history, campaign performance, deal data, behavioral signals) to AI agents in real time.
- Develop APIs and data retrieval layers that enable agents to access structured and unstructured advertiser intelligence with low latency and high reliability.
- Build and optimize retrieval-augmented generation pipelines that surface relevant advertiser context to LLM-based agents at inference time.
- Partner with Software developers, PMTs and Business Intelligence Eng to integrate machine learning models (recommendations, segmentation, forecasting) into the agent context layer.
- Contribute to our agent architecture, including memory management, session isolation, tool orchestration, and guardrails for production agent deployments.
- Own end-to-end delivery of features from design through production, including operational excellence (monitoring, alarming, runbooks).
- Drive technical decisions on data modeling, storage strategies, and system architecture for high-throughput, low-latency context services.
- Participate in code reviews, design reviews, and operational on-call rotations.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate and computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US