Highlights
Amazon Quick is an agentic AI work companion that helps business users find answers, get insights from their data, and automate their work across web, desktop, and mobile. Growth: You will work alongside experienced engineers, applied scientists, and product leaders, with mentorship and room to take on more ownership as you grow.
Numbers & Facts
| Location | Santa Clara, CA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Amazon Quick is an agentic AI work companion that helps business users find answers, get insights from their data, and automate their work across web, desktop, and mobile. It brings AI agents, enterprise knowledge, and everyday business tools together in one place, so people can go from question to action without switching contexts. Quick is one of Amazon"s most strategic products, it is live with enterprise customers, and it is growing fast.
We are looking for a Software Development Engineer who is excited to build generative AI products that customers use every day. You will design and ship features end to end, working across customer-facing experiences, distributed services, and the cloud infrastructure behind them. Experience with generative AI is a plus, but strong engineering fundamentals and a desire to learn quickly matter most.
Why you will love this role:
- Build, not maintain: Quick is in customers" hands, but many of the hardest problems in agentic AI are still being solved, and you will help solve them.
- Broad scope: You will work across the stack and see your features through from design to production.
- Enterprise scale with startup speed: We ship frequently to customers with high expectations for availability, performance, and security.
- Growth: You will work alongside experienced engineers, applied scientists, and product leaders, with mentorship and room to take on more ownership as you grow.
Key job responsibilities
- Design, build, test, and deploy features for Amazon Quick, from customer-facing experiences to the backend services and infrastructure behind them.
- Build highly available, scalable, and secure distributed systems on AWS.
- Work with product managers, designers, applied scientists, and other engineers to turn customer needs into working software.
- Own the quality and operational health of what you build, including testing, monitoring, and on-call.
- Use generative AI tools in your daily work, and help improve the quality and reliability of AI-powered features.
- Participate in code and design reviews, and mentor other engineers.
You will work with a variety of languages and technologies, such as Python, TypeScript, and Java, on AWS.
About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn"t followed a traditional path, or includes alternative experiences, don"t let it stop you from applying.
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles