Software Dev Engineer Ii, EU Intech Partner Growth Experience, EU Intech Partner Growth Experience

Amazon Amazon · Big Tech · IN, KA, Bengaluru · Software Development

Software Development Engineer II role focused on building Agentic AI solutions for Selling Partners and Retail users, leveraging LLMs and specialized agents to improve user experience. The role involves working with Amazon's native/partnered LLMs and technologies like AgentCore, AgentMemory, Strands, and MCPs, with a focus on large-scale and high-performing systems.

What you'd actually do

  1. As part of our team in Amazon PGX, you will work alongside internationally recognised experts to develop solutions to advance the state-of-the-art in Generative and Agentic AI.
  2. Your work will directly impact millions of our users in the form of products and services that improves their experience.
  3. You will gain hands on experience with Amazon’s native/partnered Large Language Models (LLMs), technologies like AgentCore, AgentMemory, Strands and Model Context Protocol (MCPs).
  4. We are also looking for talents with experiences/expertise in building large-scale and high-performing systems.

Skills

Required

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
  • Bachelor's degree in computer science or equivalent

Nice to have

  • Experience in building and deploying AI agents
  • Knowledge of Selling Partner business domain

What the JD emphasized

  • Agentic AI
  • specialized agents
  • AgentCore
  • AgentMemory
  • Strands
  • Model Context Protocol (MCPs)
  • building large-scale and high-performing systems
  • Experience in building and deploying AI agents

Other signals

  • Agentic AI solutions
  • specialized agents
  • collaborative Agentic AI solution
  • Generative and Agentic AI
  • Large Language Models (LLMs)
  • AgentCore
  • AgentMemory
  • Strands
  • Model Context Protocol (MCPs)