Sr. Software Development Engineer, Bedrock Agentcore Knowledge Bases

Amazon Amazon · Big Tech · NY +1 · Software Development

Senior Software Development Engineer to lead design and implementation of distributed AI data pipelines and large-scale distributed systems for Amazon Bedrock Knowledge Bases, a RAG service. Focus on technical leadership, architecture, and balancing execution with long-term needs.

What you'd actually do

  1. Lead the design and implementation of distributed AI data pipelines and systems, providing system-wide architectural guidance
  2. Balance speed of execution with architectural requirements, identifying one-way door decisions that require the right long-term solution
  3. Drive adoption of engineering best practices and operational excellence across the team
  4. Solve complex technical problems with multiple risks and roadblocks, bringing clarity through simple, well-designed solutions
  5. Mentor and coach multiple engineers, helping develop the next generation of technical talent

Skills

Required

  • 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

Nice to have

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • high-scale distributed systems
  • Gen AI
  • Amazon Bedrock Knowledge Bases
  • end-to-end Retrieval Augmented Generation (RAG) workflow
  • AI applications with contextual information
  • Foundation Models (FM), agents, and data sources
  • improving response quality
  • new content types and modality
  • AI data pipeline
  • large-scale distributed systems
  • technical leadership
  • team-level architecture
  • complex problems
  • technical strategy needs to be defined
  • AI Applied Scientists
  • long-term technical roadmap
  • short-term delivery
  • long-term architectural needs
  • extensible, performant, and secure
  • Quick organization
  • Knowledge Bases are strategic areas
  • AgentCore
  • visibility at the highest leadership levels
  • scale our services
  • innovate on state-of-the-art Generative AI technology
  • building the future of Generative AI
  • Retrieval Augmented Generation
  • 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

Other signals

  • Amazon Bedrock Knowledge Bases
  • Retrieval Augmented Generation (RAG)
  • end-to-end RAG workflow
  • AI applications with contextual information
  • Foundation Models (FM), agents, and data sources
  • large-scale distributed systems
  • AI data pipeline