New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities. * Evaluate, benchmark, and recommend foundation models based on performance, cost, security ...
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities. * Evaluate, benchmark, and recommend foundation models based on performance, cost, security ...
New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
Manhattan, NY · On-site
$100 - $130/hr
Utilize Retrieval Augmented Generation (RAG) techniques to improve data retrieval and decision‑making processes. * MLOps Integration (Plus): * Champion MLOps best practices to streamline the ...
Manhattan, NY · On-site
$100 - $130/hr
Utilize Retrieval Augmented Generation (RAG) techniques to improve data retrieval and decision‑making processes. * MLOps Integration (Plus): * Champion MLOps best practices to streamline the ...
New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities. * Evaluate, benchmark, and recommend foundation models based on performance, cost, security ...
Develop and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search capabilities. * Evaluate, benchmark, and recommend foundation models based on performance, cost, security ...
Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.
Quick apply
Experience with foundation models, generative AI systems, multimodal models, agentic workflows, retrieval-augmented generation (RAG), or related AI technologies.
New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
New York, NY · On-site
$134K - $176K/yr
Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build ...
Manhattan, NY · On-site
Strongunderstanding and practical experience with Retrieval-Augmented Generation(RAG). * Proficiencyin programming languages such as Python. * Knowledgeof AI model deployment and API integration.
Manhattan, NY · On-site
Strongunderstanding and practical experience with Retrieval-Augmented Generation(RAG). * Proficiencyin programming languages such as Python. * Knowledgeof AI model deployment and API integration.
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
... Retrieval-Augmented Generation (RAG) and reasoning pipelines to ensure grounded, reliable, and adaptive agent behavior. • Collaborate closely with GenAI engineers, application teams, MLOps, product ...
Raritan, NJ · On-site
$64.50 - $85/hr
... Retrieval-Augmented Generation (RAG) concepts and processes. • Good knowledge of cloud platforms and related technologies (e.g., AWS, Azure, Google Cloud). • Extensive experience in developing ...
Raritan, NJ · On-site
$64.50 - $85/hr
... Retrieval-Augmented Generation (RAG) concepts and processes. • Good knowledge of cloud platforms and related technologies (e.g., AWS, Azure, Google Cloud). • Extensive experience in developing ...
Jersey City, NJ · On-site
$120 - $160/hr
As a Senior Associate -Applied AI Data Scientist at JPMorgan Chase, you will build production LLM agents for finance workflows using techniques like retrieval-augmented generation, tool use, and ...
Jersey City, NJ · On-site
$120 - $160/hr
As a Senior Associate -Applied AI Data Scientist at JPMorgan Chase, you will build production LLM agents for finance workflows using techniques like retrieval-augmented generation, tool use, and ...
Jersey City, NJ · On-site +1
$134K - $176K/yr
Implement Retrieval-Augmented Generation (RAG) and work with Large Language Models (LLMs) for conversational and decision-support systems. * Apply Model Context Protocols (MCPs) and integrate ...
Jersey City, NJ · On-site +1
$134K - $176K/yr
Implement Retrieval-Augmented Generation (RAG) and work with Large Language Models (LLMs) for conversational and decision-support systems. * Apply Model Context Protocols (MCPs) and integrate ...
New York, NY · On-site
$53.50 - $69/hr
The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...
New York, NY · On-site
$53.50 - $69/hr
The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
Quick apply
Manhattan, NY · On-site
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
New York, NY · On-site
$53.50 - $69/hr
The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...
New York, NY · On-site
$53.50 - $69/hr
The selected resource will be a AI Builder leveraging GitHub Copilot and AI tools with strong understanding of Vector Databases and RAG (Retrieval-Augmented Generation). Project: PATH Family ...
Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.
Strong understanding and practical experience with Retrieval-Augmented Generation (RAG). Proficiency in programming languages such as Python. Knowledge of AI model deployment and API integration.
$160K - $200K/yr
Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system * Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI solutions using AWS ...
$160K - $200K/yr
Work with LLMs, embedding models, and Retrieval-Augmented Generation (RAG) system * Engineer and refine prompts to enhance AI performance and output quality * Deploy and scale AI solutions using AWS ...
Manhattan, NY · On-site
$120 - $150/hr
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
Manhattan, NY · On-site
$120 - $150/hr
Retrieval-Augmented Generation (RAG) * AI Agents * Machine Learning fundamentals Cloud & Infrastructure * Azure, AWS, or Google Cloud * Docker * Git * CI/CD Development * REST APIs * Backend ...
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.
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.
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.
The most popular types of Retrieval Augmented Generation jobs in New York are:
For Retrieval Augmented Generation jobs in New York, the most frequently searched job titles are:
The top searched job categories for Retrieval Augmented Generation jobs in New York are:
Cities in New York with the most Retrieval Augmented Generation job openings:
$134K - $176K/yr
Full-time
This job post has expired today. Applications are no longer accepted.
7.4
Based on 7,146 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Interested in high-scale distributed systems and Gen AI. Our team develops Amazon Bedrock Knowledge Bases, a fully managed service for end-to-end Retrieval Augmented Generation (RAG) workflow. Our team's mission is to make it easier for customers to build AI applications with contextual information from their enteprise data to deliver more relevant, accurate, and customized responses.
We continuously develop new features to address real-world problems through research and innovation, such as 1/ integrating with Foundation Models (FM), agents, and data sources 2/ improving response quality by improving our existing pipeline and creating new pipelines 3/ introducing support for new content types and modality.
As a Senior Software Development Engineer, you will provide technical leadership and own team-level architecture for our AI data pipeline and large-scale distributed systems serving our worldwide customer base. You will lead projects requiring work from multiple engineers, designing solutions for complex problems where the business direction is understood but the technology strategy needs to be defined.
In this role, you will collaborate closely with a team of AI Applied Scientists and engineers across related teams, driving consensus on technical approaches and influencing the team's long-term technical roadmap. You will balance constraints between short-term delivery and long-term architectural needs, ensuring solutions are extensible, performant, and secure.
Key job responsibilities
* Lead the design and implementation of distributed AI data pipelines and systems, providing system-wide architectural guidance
* Balance speed of execution with architectural requirements, identifying one-way door decisions that require the right long-term solution
* Drive adoption of engineering best practices and operational excellence across the team
* Solve complex technical problems with multiple risks and roadblocks, bringing clarity through simple, well-designed solutions
* Mentor and coach multiple engineers, helping develop the next generation of technical talent
Effectively communicate technical designs to both technical and non-technical audiences
About the team
This role is part of the Quick organization in New York.
Knowledge Bases are strategic areas for both Quick and AgentCore with visibility at the highest leadership levels. This role offers a chance to scale our services and find opportunities to innovate on state-of-the-art Generative AI technology. You will be working closely with an exceptional group of product, engineering, and science leaders.
If you are interested in building the future of Generative AI and Retrieval Augmented Generation, we'd love to hear from you!
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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.
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
10,000+ Employees
Seattle, WA, US
