Software Development Engineer, Ring Agent Platforms
Amazon.com
We are looking for a Software Development Engineer to build and deliver features for a multi-agent AI platform. This platform enables organizations to design, compose, and deploy autonomous AI agents that collaborate with each other and with humans to execute complex workflows — from code generation and analysis to decision-making and task orchestration across enterprise systems.
The work sits at the frontier of agentic AI: multi-agent coordination, tool use and function calling, retrieval-augmented generation, conversational interfaces, and scalable job execution. The underlying architecture is cloud-native and polyglot, spanning real-time APIs, event-driven compute, analytics pipelines, and integrations with large language models. The platform is built to be modular — agents are composed from reusable skills and tooling, making it possible for teams across the organization to create, share, and evolve intelligent automation without starting from scratch.
Key job responsibilities
As an SDE on the team, you will design, implement, test, and operate platform components that power agent workflows in production. You will collaborate with senior engineers, applied scientists, and product partners to deliver high-quality software in a fast-paced environment. This is a role for someone who is excited about the rapid evolution of AI, eager to get hands-on with agentic systems and large language models, and motivated to ship software that makes a real impact. If you're energized by the idea of building intelligent systems that can reason, collaborate, and act autonomously — and you want to grow your skills at the frontier of what's possible — this is the team to be on.
About the team
The Data and Agents Organization spans data engineering, business intelligence, applied science, and agentic AI. The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support, strategic new development, and operational health.
The work sits at the frontier of agentic AI: multi-agent coordination, tool use and function calling, retrieval-augmented generation, conversational interfaces, and scalable job execution. The underlying architecture is cloud-native and polyglot, spanning real-time APIs, event-driven compute, analytics pipelines, and integrations with large language models. The platform is built to be modular — agents are composed from reusable skills and tooling, making it possible for teams across the organization to create, share, and evolve intelligent automation without starting from scratch.
Key job responsibilities
As an SDE on the team, you will design, implement, test, and operate platform components that power agent workflows in production. You will collaborate with senior engineers, applied scientists, and product partners to deliver high-quality software in a fast-paced environment. This is a role for someone who is excited about the rapid evolution of AI, eager to get hands-on with agentic systems and large language models, and motivated to ship software that makes a real impact. If you're energized by the idea of building intelligent systems that can reason, collaborate, and act autonomously — and you want to grow your skills at the frontier of what's possible — this is the team to be on.
About the team
The Data and Agents Organization spans data engineering, business intelligence, applied science, and agentic AI. The org is structured into three primary groups: one focused on core data platforms, tooling, and pipeline infrastructure; another focused on AI/ML models, business analytics, shared data models, product analytics, and strategic science initiatives; and a third focused on building a multi-agent AI platform that enables teams to compose, deploy, and orchestrate autonomous AI agents at scale. Capacity is balanced across direct business support, strategic new development, and operational health.
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