Software Engineer, Multi-Modal Document Intelligence

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 143,700 - 194,400

Full time

14 days+

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Benefits offered by this job

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

Job summary

Amazon Development Center U.S., Inc. in Seattle is seeking a Software Development Engineer for the AWS Quick RAG team to build scalable ingestion pipelines that handle multi‑modal content (PDF, audio, video, tables) and power Quick Suite's document processing and search capabilities.

You will optimize performance for millions of documents, collaborate with applied scientists, participate in design reviews, and mentor junior engineers while balancing hands‑on development with operational

Qualifications

  • 3+ years of non-internship professional software development experience.
  • 2+ years of design or architecture experience for large systems.
  • 1+ years of software development engineer experience.
  • 1+ years of designing and developing large-scale distributed software applications.
  • 1+ years of Object Oriented Design experience.
  • Bachelor's degree in CS/Engineering/Mathematics or related field.
  • Experience programming with at least one language.

Responsibilities

  • Design, develop, and maintain scalable ingestion pipelines for multi-modal content.
  • Optimize system performance and reliability; implement CV/ML solutions for content extraction.
  • Collaborate with applied scientists to integrate retrieval models.
  • Participate in on-call rotations and conduct code reviews.

Skills

Software development
Design patterns
Object-oriented design
Distributed systems
Programming languages

Education

Bachelor's degree in CS/Engineering

Job description

Amazon Development Center U.S., Inc. in Seattle is seeking a Software Development Engineer for the AWS Quick RAG team to build scalable ingestion pipelines that handle multi‑modal content (PDF, audio, video, tables) and power Quick Suite's document processing and search capabilities.

You will optimize performance for millions of documents, collaborate with applied scientists, participate in design reviews, and mentor junior engineers while balancing hands‑on development with operational

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