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What if AI didn't just execute — it got smarter every time it finished a task? We're building a new system that gives AI the ability to learn from experience at scale. Not through retraining, but through memory. You'll be among the first engineers building it — shipping production code in your first week on a team that moves at startup speed with Amazon resources. Key job responsibilities As a Software Development Engineer II, you will solve technical challenges at the intersection of knowledge systems, real-time retrieval, and AI-powered intelligence. You'll play an active role in translating research ideas into production systems and build quick prototypes in partnership with Applied Scientists and engineering leadership. Specific responsibilities include: 1. Design and build highly scalable distributed systems that capture, structure, and retrieve knowledge in real time across diverse data sources. 2. Implement intelligent retrieval and ranking capabilities that match intent to relevant knowledge with sub-second latency. 3. Create APIs and data models that enable AI systems to access structured memory across multiple contexts and domains. 4. Develop and optimize pipelines for processing both real-time event streams and batch data into durable, retrievable knowledge representations. 5. Build systems that respect temporal decay, relevance boundaries, and access controls to ensure knowledge stays current and appropriate. 6. Collaborate with Applied Scientists to integrate novel approaches to knowledge extraction and pattern recognition into production infrastructure. 7. Work on innovative solutions for cross-domain knowledge reconciliation — connecting insights that span different tools, teams, and workflows. 8. Contribute to the development of feedback loops that allow the system to compound its value with every interaction it processes. About the team We're a new team within Amazon's Personalization organization, which pioneered recommendation systems at internet scale. Our focus is different: not "what product should this customer see" but "what knowledge should this AI use right now." We're building a foundational capability that will change how hundreds of thousands of people work — giving AI persistent, compounding memory that improves with every interaction. The team values builders who move fast, ship constantly, and are energized by solving problems that don't have established playbooks. We offer creative space with an entrepreneurial environment and a culture where everyone is a leader and owner for everything we do.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.