... Retrieval-Augmented Generation) systems that ground LLM outputs in operational data, historical playbooks, and domain knowledge - Build guardrails, validation layers, and output parsing for LLM ...
... Retrieval-Augmented Generation) systems that ground LLM outputs in operational data, historical playbooks, and domain knowledge - Build guardrails, validation layers, and output parsing for LLM ...
... 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 ...
... 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 ...
... Retrieval-Augmented Generation) systems that ground LLM outputs in operational data, historical playbooks, and domain knowledge - Build guardrails, validation layers, and output parsing for LLM ...
... Retrieval-Augmented Generation) systems that ground LLM outputs in operational data, historical playbooks, and domain knowledge - Build guardrails, validation layers, and output parsing for LLM ...
Senior AI Architect
Seattle, WA · On-site
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
Senior AI Architect
Seattle, WA · On-site
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
... 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 ...
... 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 ...
Senior AI Engineer - Privacy
Bellevue, WA · On-site
$117K - $162K/yr
Embedded within the Data & Intelligence organization's Privacy practice, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and ...
New
Senior AI Engineer - Privacy
Bellevue, WA · On-site
$117K - $162K/yr
Embedded within the Data & Intelligence organization's Privacy practice, this engineer will apply large language models (LLMs), retrieval-augmented generation (RAG), multi-agent orchestration, and ...
New
Senior AI Architect
Seattle, WA · On-site
$135K - $203K/yr
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
Senior AI Architect
Seattle, WA · On-site
$135K - $203K/yr
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights. * Combine LLMs, CV, and rule-based logic to ...
Quick apply
Architect retrieval-augmented generation (RAG) and computer vision pipelines that interpret plan sets, generate takeoffs, and surface contextual insights. * Combine LLMs, CV, and rule-based logic to ...
General Information
Seattle, WA · On-site
Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis
General Information
Seattle, WA · On-site
Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis
C2C Role: Kafka Administrator Location: Bellevue, WA, Frisco, TX
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
C2C Role: Kafka Administrator Location: Bellevue, WA, Frisco, TX
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
Senior AI Engineer, Security AI
Redmond, WA · On-site
$128K - $175K/yr
In this individual contributor role, you will design, develop, evaluate, and improve AI capabilities built on large language models, agentic workflows, retrieval-augmented generation, knowledge ...
Senior AI Engineer, Security AI
Redmond, WA · On-site
$128K - $175K/yr
In this individual contributor role, you will design, develop, evaluate, and improve AI capabilities built on large language models, agentic workflows, retrieval-augmented generation, knowledge ...
Software Development Engineer
Seattle, WA · On-site
$115 - $148/hr
You will design, implement, and ship LLM-powered agent tools, MCP integrations, and retrieval-augmented generation (RAG) systems that are already in production use and you will do it using AI ...
Software Development Engineer
Seattle, WA · On-site
$115 - $148/hr
You will design, implement, and ship LLM-powered agent tools, MCP integrations, and retrieval-augmented generation (RAG) systems that are already in production use and you will do it using AI ...
Senior AI Architect
Seattle, WA · On-site
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
Senior AI Architect
Seattle, WA · On-site
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
Senior AI Architect
Seattle, WA · On-site
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
Senior AI Architect
Seattle, WA · On-site
Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A ...
Director, Data Science
Seattle, WA · On-site
$201K - $281K/yr
Familiarity with retrieval-augmented generation (RAG), vector databases, and enterprise AI architectures preferred. * Demonstrated ability to influence technical strategy across cross-functional ...
Director, Data Science
Seattle, WA · On-site
$201K - $281K/yr
Familiarity with retrieval-augmented generation (RAG), vector databases, and enterprise AI architectures preferred. * Demonstrated ability to influence technical strategy across cross-functional ...
Senior Software Engineer, Security AI
Redmond, WA · On-site
$137K - $180K/yr
In this hands-on engineering role, you will design, build, and operate production AI services that combine large language models, retrieval-augmented generation, agent-based workflows, knowledge ...
Senior Software Engineer, Security AI
Redmond, WA · On-site
$137K - $180K/yr
In this hands-on engineering role, you will design, build, and operate production AI services that combine large language models, retrieval-augmented generation, agent-based workflows, knowledge ...
Principal - AI Architect - Insurance
Bellevue, WA · On-site
$154 - $193/hr
Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures. * Experience with MLOps/LLMOps ...
Principal - AI Architect - Insurance
Bellevue, WA · On-site
$154 - $193/hr
Hands-on experience with LLM frameworks and patterns (LangChain, LlamaIndex, Semantic Kernel), vector databases, and Retrieval-Augmented Generation (RAG) architectures. * Experience with MLOps/LLMOps ...
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 ...
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 ...
... e.g., retrieval-augmented generation, structured reasoning), and set team best practices. - Debug and optimize AI systems for performance and reliability. - Communicate technical concepts and ...
Quick apply
... e.g., retrieval-augmented generation, structured reasoning), and set team best practices. - Debug and optimize AI systems for performance and reliability. - Communicate technical concepts and ...
Architect and evolve the Agentic AI Platform to support multi-agent orchestration, retrieval-augmented generation (RAG), and integration with existing Visa microservices. Design scalable, secure ...
New
Architect and evolve the Agentic AI Platform to support multi-agent orchestration, retrieval-augmented generation (RAG), and integration with existing Visa microservices. Design scalable, secure ...
New
Retrieval Augmented Generation information
What is a retrieval augmented generation?
A Retrieval Augmented Generation (RAG) job typically involves developing and optimizing AI systems that enhance text generation by incorporating external knowledge retrieved from relevant sources. Professionals in this field work on integrating retrieval mechanisms with large language models to improve the relevance, accuracy, and factual grounding of generated content. Common responsibilities include designing retrieval systems, fine-tuning language models, optimizing performance, and ensuring the seamless integration of factual data into AI-generated text. This role is highly interdisciplinary, involving expertise in natural language processing (NLP), machine learning, and information retrieval.
What does a retrieval augmented generation engineer do?
A Retrieval Augmented Generation engineer typically spends their day designing and implementing systems that combine information retrieval with advanced generative models, such as large language models. This includes fine-tuning models, integrating external data sources, developing vector search pipelines, and evaluating output quality. Collaboration with data scientists, machine learning engineers, and product teams is common to ensure the solutions meet user requirements and scale effectively. Additionally, RAG engineers often troubleshoot issues, monitor model performance in production, and stay informed about the latest advancements in AI and information retrieval.
What skills and qualifications are needed for retrieval augmented generation?
To thrive in a Retrieval Augmented Generation (RAG) engineering role, you need a solid background in machine learning, natural language processing (NLP), and experience with scalable information retrieval systems, typically supported by a relevant degree in computer science or a related field. Familiarity with tools such as Python, PyTorch or TensorFlow, vector databases, and search platforms like Elasticsearch is essential, along with practical experience deploying and tuning RAG pipelines. Strong problem-solving skills, a collaborative mindset, and effective communication abilities set outstanding professionals apart in this field. These competencies are crucial for designing, implementing, and optimizing hybrid retrieval-generation AI systems that address complex, real-world information needs.
What are the most commonly searched types of Retrieval Augmented Generation jobs in Seattle, WA?
The most popular types of Retrieval Augmented Generation jobs in Seattle, WA are:
What are popular job titles related to Retrieval Augmented Generation jobs in Seattle, WA?
For Retrieval Augmented Generation jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Retrieval Augmented Generation jobs in Seattle, WA look for?
The top searched job categories for Retrieval Augmented Generation jobs in Seattle, WA are:
$130K - $156K/yr
Full-time
Posted 10 days ago
Amazon rating
7.4
Based on 7,146 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
We are looking for an **AI/ML Engineer** to build, deploy, and operate the ML/AI systems that power the agentic decision intelligence workflow we are building. You are the person who takes a model from a notebook to production, builds the LLM integration layer, implements RAG pipelines, creates evaluation frameworks, and ensures our AI systems are reliable, observable, and continuously improving.
This is a hands-on engineering role with deep ML/AI focus - you write production code that runs AI systems, not research papers. If you love the intersection of ML infrastructure, LLM applications, and production engineering, this role is for you.
Key job responsibilities
- Build and maintain LLM-powered components: structured reasoning chains, narrative generation, recommendation rationale
- Implement and optimize prompt engineering pipelines with version control, A/B testing, and regression detection
- Build RAG (Retrieval-Augmented Generation) systems that ground LLM outputs in operational data, historical playbooks, and domain knowledge
- Build guardrails, validation layers, and output parsing for LLM responses
Optimize latency, cost, and quality trade-offs across LLM providers
- Deploy ML models to production. Implement model monitoring: drift detection, performance degradation alerts, automated retraining triggers
- Build A/B testing infrastructure for model experiments. Manage model versioning, rollback, and canary deployment.
Ensure SLA compliance for inference latency and availability
- Own the operational health of AI/ML services: monitoring, alarming, on-call, incident response, observability across the AI stack (prompt traces, latency histograms, token usage, error rates)
- Write comprehensive tests (unit, integration, end-to-end) for ML pipelines
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, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US