Level

Amazon

Software Development Engineer II, EU INTech Partner Growth Experience

AI in this role

Build state-of-the-art generative and agentic AI solutions and specialized multi-agent systems for retail users and selling partners.

javacagentcoreagentmemorystrandsmodel-context-protocol
ai-agentssoftware-developmentsystem-architecturegenerative-aillms
Amazon is seeking passionate, talented and inventive Software Development Engineers with a strong development background to help build Agentic AI solutions for Selling Partners and Retail users. Our mission is to elevate their experience through intelligent, collaborative Agentic AI solution powered by specialized agents that deliver seamless, personalized support at scale.

Key job responsibilities
As part of our team in Amazon PGX, you will work alongside internationally recognized experts to develop Selling Partner and Amazon Retail solutions to advance the state-of-the-art in Generative and Agentic AI. Your work will directly impact millions of our users in the form of products and services that improves their experience. 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). We are also looking for talents with experiences/expertise in building large-scale and high-performing systems.

Basic qualifications

- 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

Preferred qualifications

- Experience deep diving on selling partner-level issues and delivering recommendations
- Experience in building and deploying AI agents

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Software Development Engineer II, EU INTech Partner Growth Experience at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsSoftware DevelopmentSystem ArchitectureGenerative AILLMsJavaCAgentcore

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where software development was part of your work. What did you do?
  3. Tell me about a project where system architecture was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where llms was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Agents, Software Development, System Architecture, Generative AI, and LLMs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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