Quicknode jobs

SDE III, Amazon Quick Suite Bellevue, Washington, USA Amazon Quick Suite is revolutionizing workplace productivity through innovative generative AI technology. As a AI-powered assistant, it transforms how enterprises operate by empowering employees to be more creative, data-driven, efficient, prepared, and productive. Unlike traditional AI assistants, Quick leverages artificial intelligence to answer questions, provide summaries, generate content, and securely complete tasks based on enterprise data. Central to its functionality is the ability to unify disparate data sources across organizations. With over 40 secure connectors to popular enterprise applications and document repositories, it offers a seamless experience that breaks down information silos and enhances collaboration. As a Software Development Engineer on the Quick team, you will play a vital role in designing, developing, and optimizing the platform's core components. Your work will ensure high performance, scalability, and reliability while directly impacting how businesses leverage AI for enhanced operations and data-driven decision-making. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create solutions. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Join us in shaping the future of work

Data Scientist, AWS Quick Data Santa Clara, California, USA Amazon Quick Suite is an enterprise AI platform that transforms how organizations work with their data and knowledge. Combining generative AI-powered search, deep research capabilities, intelligent agents and automations, and comprehensive business intelligence, Quick Suite serves tens of thousands of users. Our platform processes thousands of queries monthly, helping teams make faster, data-driven decisions while maintaining enterprise-grade security and governance. From natural language interactions with complex datasets to automated workflows and custom AI agents, Quick Suite is redefining workplace productivity at unprecedented scale. We are seeking a Data Scientist II to join our Quick Data team, focusing on evaluation and benchmarking data development for Quick Suite features, with particular emphasis on Research and other generative AI capabilities. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Quick Suite. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users at scale. As part of our diverse team-including data scientists, engineers, language engineers, linguists, and program managers-you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence. Key job responsibilities In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments

Front-End Engineer II, Amazon Quick, Amazon Quick Seattle, Washington, USA About Amazon Quick: Amazon Quick is a generative AI-powered assistant that empowers employees to be more productive by answering questions, generating content, providing summaries, and completing tasks-all securely grounded in enterprise data. The Role: We are hiring a Front-End Engineer II to join a strategic new initiative on the Quick team. You will design and deliver complex, scalable front-end capabilities across web and mobile platforms, helping define the next generation of AI-powered user experiences. What We're Looking For: A builder with a strong track record of shipping customer-facing features, experience supporting new product architectures and business models, and the ability to thrive in a fast-paced, startup-like environment. You approach hard problems with curiosity and solve them with elegant, simple solutions. Key job responsibilities 1. Own the design and hands-on development of front-end architecture, UI frameworks, component libraries, and design systems that power the Amazon Quick experience. 2. Lead the full lifecycle of front-end feature delivery-from technical design through implementation, testing, and release. Influence decisions on the UI tech stack, rendering strategies, and client-side performance to ensure scalable, maintainable, and high-quality user experiences. 3. Champion agile methodologies and front-end DevOps practices, including CI/CD pipelines, automated UI testing, and operational excellence-fostering a culture of continuous improvement and efficient delivery. 4. Collaborate closely with UX designers, product managers, and science partners to translate customer needs and design intent into polished, accessible interfaces. This is a highly visible role where strong communication and cross-functional

Front-End Engineer, Amazon Quick, Amazon Quick Seattle, Washington, USA About Amazon Quick: Amazon Quick is a generative AI-powered assistant that empowers employees to be more productive by answering questions, generating content, providing summaries, and completing tasks-all securely grounded in enterprise data. The Role: We are hiring a Front-End Engineer III to join a strategic new initiative on the Quick team. You will design and deliver complex, scalable front-end capabilities across web and mobile platforms, helping define the next generation of AI-powered user experiences. What We're Looking For: A builder with a strong track record of shipping customer-facing features, experience supporting new product architectures and business models, and the ability to thrive in a fast-paced, startup-like environment. You approach hard problems with curiosity and solve them with elegant, simple solutions. Key job responsibilities 1. Own the design and hands-on development of front-end architecture, UI frameworks, component libraries, and design systems that power the Amazon Quick experience. 2. Lead the full lifecycle of front-end feature delivery-from technical design through implementation, testing, and release. Influence decisions on the UI tech stack, rendering strategies, and client-side performance to ensure scalable, maintainable, and high-quality user experiences. 3. Champion agile methodologies and front-end DevOps practices, including CI/CD pipelines, automated UI testing, and operational excellence-fostering a culture of continuous improvement and efficient delivery. 4. Collaborate closely with UX designers, product managers, and science partners to translate customer needs and design intent into polished, accessible interfaces. This is a highly visible role where strong communication and cross-functional partnership

Software Development Engineer, AWS Quick Desktop Seattle, Washington, USA We're building an AI-powered desktop application that fundamentally changes how knowledge workers manage their digital workload. Think of it as an intelligent companion that sits alongside you on your laptop - connected to your messages, calendar, and files - understanding your work context and helping you stay on top of everything without the cognitive overhead. As an SDE-2 on this team, you'll work at the intersection of AI/ML systems and desktop application development. You'll build the infrastructure that lets AI agents operate safely and reliably on a user's machine - from real-time event processing and multi-agent orchestration to local knowledge graphs that evolve as users interact with the system. The problems you'll solve aren't typical CRUD - they involve designing novel architectures for long-running agentic sessions, managing context windows across complex task hierarchies, and building trust through transparent, permission-scoped automation. This is a 0-to-1 product. You'll ship features end-to-end, influence architecture decisions, and see your work in the hands of users quickly. If you've ever wanted to build software that feels like it genuinely understands and helps people - not just another chatbot, but a proactive partner - this is that opportunity. Key job responsibilities * Design and implement core systems for the desktop application's agentic runtime - including task scheduling, agent lifecycle management, and inter-process communication between parallel AI agents * Build and evolve a local knowledge graph that captures relationships between people, projects, and topics from the user's work

Software Development Engineer, Amazon Quick Suite Seattle, Washington, USA 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 processing and search capabilities. You'll design and build scalable ingestion pipelines that handle multi-modal content (PDF, audio, video, tables) using computer vision and machine learning, optimize system performance for millions of documents, and collaborate across teams to deliver features that directly impact customer experience. This role offers the opportunity to work with modern AWS technologies including Bedrock, ECS, and DynamoDB while solving complex distributed systems challenges at scale. Key job responsibilities You will design, develop, and maintain scalable ingestion pipelines that process millions of documents across multiple formats including PDF, audio, video, and structured tables. You'll optimize system performance and reliability, implement computer vision and machine learning solutions for content extraction, and collaborate with applied scientists to integrate advanced retrieval models. You'll also participate in on-call rotations, conduct code reviews, mentor team members, and contribute to architectural decisions that shape the future of AWS Quick Suite's document intelligence capabilities. This role requires balancing hands-on development with operational excellence, ensuring our systems meet the highest standards for performance, scalability, and customer experience. A day in the life As a Software Development Engineer on the AWS Quick RAG team, you'll start your day reviewing system metrics and performance dashboards to ensure our ingestion pipelines are processing millions of documents efficiently. You'll spend time coding-whether building new features

SNO - PM Leader - Tech 3 Andover posted: Posted 30+ Days Ago

Senior Network Engineer Katowice, Poland posted: Posted 3 Days Ago

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Frigoriste CA-QC-LONGUEUIL-J01 ~ 1000 Blvd Marie-Victorin ~ J01 BLDG posted: Posted 30+ Days Ago

Senior ML Kernel Performance Engineer Toronto, Ontario, CAN The Annapurna Labs team at Amazon builds Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The Acceleration Kernel Library team is at the forefront of maximizing performance for Amazon's custom ML accelerators. Working at the hardware-software boundary, our engineers craft high-performance kernels for ML functions, ensuring every FLOP counts in delivering optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. The Amazon Neuron SDK, developed by the Annapurna Labs team at Amazon, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch, enabling unparalleled ML inference and training performance. As part of the broader Neuron Compiler organization, our team works across multiple technology layers - from frameworks and compilers to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to work at the intersection of machine learning, high-performance computing, and distributed architectures, where you'll help shape the future of AI acceleration technology This is an opportunity to work on cutting-edge products at the intersection of machine-learning, high-performance computing, and distributed

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InfoBlox Network Engineer Stuttgart, Germany posted: Posted 8 Days Ago

Senior DfT Engineer Caen posted: Posted 30+ Days Ago

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Prin Embedded Software Engineer Galway, County Galway, Ireland posted: Posted 3 Days Ago

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Senior Engineer - Embedded Software Ireland, Limerick posted: Posted 30+ Days Ago

Senior AI Cloud Operations Engineer Ireland, Limerick posted: Posted 30+ Days Ago

Senior Cloud Software Engineer Ireland, Limerick posted: Posted 30+ Days Ago

Senior Electrical Engineer Findlay Township posted: Posted 21 Days Ago