Software Dev Engineer - Full Stack, GenAIUX

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
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent
• Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Additional Information

Help shape new Generative AIUX products for AWS customers Our team builds Generative AIUX products that transform the way customers design. We are focused on the future of design driven development and democratizing innovation for all builders. We deliver a shared platform across multiple products, and we work on AI-powered tools that use Design Systems to build interfaces, and accelerate design, development, and validation workflows. The two products you will be working on are Venue and project Arena. Venue is an AI powered internal prototyping tool that helps AWS builders create new features using the AWS Cloudscape Design system. Arena is an external version of the tool that helps scale this offering to all of Amazon and to external customers with a focus on 0-1 rapid prototyping. We are seeking a talented and passionate generative/agentic AI Engineer to join our team and lead the development of cutting-edge AIUX solutions. AIUX is the intersection of Artificial Intelligence and User Experience. AIUX focuses on making sure the user experience is bar raising for a human and simultaneously works well with agents. This includes designing for trust, transparency (letting users know they are interacting with AI), and providing control (allowing users to edit or undo AI actions). It enhances productivity, automates repetitive tasks, and creates more engaging, intuitive, and efficient user experiences. The ideal candidate will bring expertise in generative and agentic AI and data analysis to create intelligent and transformative AI applications. In this role, you will work closely with our product, design, and backend teams to build and enhance our generative AI platform. You will have the opportunity to influence the direction of our product and contribute to a culture of innovation and excellence. Our team is dedicated to supporting new team members. It has a broad mix of experience levels and Amazon tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth. We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future. Key job responsibilities - Full stack focus and experience - Backend Integration (AI-Focused): Integrate with systems to manage asynchronous data flows from LLMs (Large Language Models) and other AI services. - Front end development experience, experience working with Designers, - Optimize Performance: Ensure maximum speed and responsiveness of AI-driven interfaces, particularly when processing large datasets or real-time streaming output. - Design and own end-to-end systems, spanning backend services, APIs, data storage, and frontend - Build and evolve GenAI-powered services that support design generation, validation, and automation workflows. - Work with internal teams to understand needs and translate them into robust solutions. - Contribute to hiring, mentor junior engineers, and raise the overall engineering bar.

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