Senior Software Engineer: Scalable AI Agents & LLMs

Amazon

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

2 days ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking an experienced Software Development Engineer with backend and online service expertise to architect and develop agentic services powered by large language models. You'll build expertise in distributed systems, API development, and service orchestration, collaborating with engineers, scientists, and TPMs to deliver responsive AI-powered shopping experiences.

Join the Amazon Shopping Team to drive LLM-enabled features for Stores customers and help define the technical roadmap

Qualifications

  • 5+ years of professional software development experience.
  • 5+ years of programming with at least one software programming language.
  • 5+ years of leading design or architecture of new and existing systems.
  • Experience as a mentor or tech lead or leading an engineering team.
  • Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques.

Responsibilities

  • Architect, design, and develop agentic services and applications powered by large language models.
  • Build expertise in online service architecture, API development, and distributed systems that power responsive agentic AI applications at scale.
  • Contribute to prioritization, estimation, and sprint planning activities.

Skills

Software development
Architectural design
Mentorship / Tech lead
ML & LLM fundamentals

Job description

Amazon is seeking an experienced Software Development Engineer with backend and online service expertise to architect and develop agentic services powered by large language models. You'll build expertise in distributed systems, API development, and service orchestration, collaborating with engineers, scientists, and TPMs to deliver responsive AI-powered shopping experiences.

Join the Amazon Shopping Team to drive LLM-enabled features for Stores customers and help define the technical roadmap

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