Senior AI Backend Engineer – LLM & Agents

Amazon

Palo Alto (CA)

On-site

USD 193,000 - 262,000

Full time

3 days ago
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Benefits offered by this job

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

Job summary

Amazon.com Services LLC is seeking a Software Development Engineer to architect and develop agentic services powered by large language models. You will work on backend systems, API development, and distributed architectures to deliver scalable, intelligent AI-powered shopping experiences.

Join a collaborative team of engineers and TPMs, shaping the technical roadmap, reliability, and performance while enabling new LLM features for Amazon Stores across platforms.

Qualifications

  • 5+ years of non-internship professional software development experience.
  • 5+ years of programming with at least one software programming language experience.
  • 5+ 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.
  • 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 LLMs.
  • Build online service architecture, API development, and distributed systems.
  • Contribute to technical roadmap, service reliability metrics, and optimizations.
  • Design large-scale distributed agentic AI applications with team.

Skills

Software development
Leadership
ML fundamentals
LLM basics
Mentor / tech lead

Job description

Amazon.com Services LLC is seeking a Software Development Engineer to architect and develop agentic services powered by large language models. You will work on backend systems, API development, and distributed architectures to deliver scalable, intelligent AI-powered shopping experiences.

Join a collaborative team of engineers and TPMs, shaping the technical roadmap, reliability, and performance while enabling new LLM features for Amazon Stores across platforms.

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