Amazon

SDE, Alexa+ AI Agent, ACT

Posted On

March 6, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Software Development

Apply By

March 24, 2026

Job Description

Alexa+: An AI assistant that gets things done—she's smarter, more conversational, and more capable.

With 600 million Alexa devices now out in the world, the latest advancements in generative AI have unlocked new possibilities—enabling us to reimagine the experience in our pursuit of making customers' lives better and easier every day.

Alexa's core SDK and Agent development platform are the backbone of Alexa+ by serving as the foundational developer platform for Alexa+ Experiences guiding AI systems to provide contextually relevant, accurate, and coherent responses to user uttreances. The quality of this engineering directly impacts the assistant's ability to understand context, maintain conversation flow, and generate appropriate responses.

We are seeking an experienced Software Engineering Engineer III to serve a team techniocal lead and drive critical projects on our Alexa+ AI Agent team, driving the development and optimization of the SDK and related Agent development programs for Alexa+. The ideal candidate is interested in solving complex problems, is able to work in an ambiguous space and enjoy working on the edge of technology. Our team is responsible for building robust, scalable architectures that power agent development for thousands of engineers. This role will contribute to technical strategy, collaborate with partner platform teams and Alexa domain teams, and ensure the delivery of high-quality solutions that enhance the conversational platform of Alexa+.
As a SDE-III, a candiate for this role should expect to drive design, end -to end programs and influence both on team and cross -team architectures.

Key job responsibilities
Technical Leadership:
- Drive key engineering programs for Alexa+'s LLM Agent SDK.
- Contribute to technical standards and best practices for the team
- Drive adoption of emerging AI technologies and best practices in LLM agent development
- Evaluate and integrate new techniques to drive differentiation and efficiency in Alexa+ engineering
Operational Excellence:
- Ensure system scalability for 600M+ Alexa devices
- Maintain high performance standards and monitoring
- Manage high severity incidents and resolution
- Drive continuous improvement initiatives

A day in the life
A typical engineering day commences with a daily standup or huddle, wherein team members provide comprehensive updates on their previous day's accomplishments, current work streams, and any impediments requiring resolution. This collaborative ritual ensures alignment across the engineering organization and facilitates knowledge transfer among team members.

Following the morning synchronization, the team typically engages in collaborative architectural design sessions utilizing whiteboard methodologies. These sessions focus on decomposing complex technical challenges, evaluating alternative solution approaches, and establishing consensus on implementation strategies. Such design discussions are fundamental to maintaining architectural coherence and fostering collective ownership of technical decisions across the engineering team.

The afternoon hours are predominantly allocated to hands-on engineering activities, encompassing detailed system design, implementation of features and capabilities, and rigorous code development. A critical component of this workflow involves continuous peer code review processes, wherein engineers both contribute reviews to their colleagues' work and receive constructive feedback on their own implementations. This bidirectional review mechanism ensures code quality, promotes knowledge dissemination, and maintains adherence to established engineering standards and best practices.
- 6+ years of non-internship professional software development experience
- 6+ years of programming with at least one software programming language experience
- 6+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

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