Software Development Engineer, Amazon Quick
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About the role
Amazon Quick 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. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
Requirements
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- Experience in Full Stack and Gen-AI development
- 5+ years shipping production software with depth in distributed Python services, TypeScript/React desktop apps, or LLM-backed agent runtimes.
- Strong Python and TypeScript/React, with Electron production experience.
- WebSockets and event-driven streaming architectures.
- LLM application engineering on AWS Bedrock or comparable platforms - agent frameworks, orchestration, and interoperability protocols (MCP, A2A, ACP)
- Appr
Additional Information
Amazon Quick 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 with Amazon Q Business and be part of a team that is making significant strides in the generative AI landscape for enterprise productivity. Key job responsibilities In this role, you will build features in Amazon Quick that is going to be trend setting in the Gen AI field. This is an area that requires solving the hardest engineering challenges to enable machine learning powered solutions for our customers. Our solutions have to be scalable, efficient, and fault tolerant. Experience with machine learning systems is preferred, but not required. You will deliver some of our most strategic technical projects, deliver large scalable systems, design new software systems and have a significant bottom-line impact on our business and competitive position. In addition to delivering critical software, you will draw from a deep and broad technical expertise to mentor engineers and provide leadership on complex technical issues. This position within the Agentic AI team presents a unique and rare opportunity to get in on the ground floor within a fast growing business and help shape the technology, product and the business. A successful candidate will bring deep technical and software expertise, desire to have an industry wide impact and ability to work within a fast moving, startup environment in a large company to rapidly deliver services that have a broad business impact.
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