Software Development Engineer II, SP Support

AI in this role

Builds AI-powered solutions and scalable services using LLMs and machine learning to transform Amazon's seller support platform.

llmsmachine-learning

We are seeking a talented Software Development Engineer II to join our new team in Bangalore, focusing on building AI-powered solutions that will transform Amazon's Seller Support experience. As one of the founding engineers in this new organization, you will have significant technical ownership and influence on our architecture and implementation choices.

You will work directly with LLMs and machine learning systems while developing scalable services that power our next-generation support platform. This role offers unique exposure to AI technologies while solving real-world problems that impact millions of Amazon sellers.

This role is perfect for a motivated engineer who wants to combine deep technical work with real business impact. You will help transform a complex ecosystem of 180+ tools into a streamlined, AI-powered platform while working alongside experienced engineers and leaders.

Success in this role means delivering scalable, reliable services that power our intelligent support platform while maintaining high standards of code quality and engineering excellence.

Key job responsibilities
You'll shape the future of e-commerce by tackling complex challenges across the software development lifecycle. Collaborating with business stakeholders, you'll envision innovative solutions that delight customers, then design robust, scalable architectures to bring them to life.

During implementation, you'll craft high-quality, reliable code that meets rigorous standards, leveraging your expertise in testing and operations to ensure seamless deployments. But your role won't stop there – as a seasoned engineer, you'll also mentor junior team members, sharing your best practices to elevate the entire organization.

Ultimately, your work will have a direct, tangible impact on our global e-commerce platform and the millions it serves. If you're ready to innovate at the forefront of technology, join our team and make your mark.

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
- 3+ years of Video Games Industry (supporting title Development, Release, or Live Ops) experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ 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

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, SP Support 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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

LLMsMachine Learning

Questions you could be asked

What's a project where you used LLMs hands-on?
Walk me through how you've used Machine Learning in your day-to-day work.
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: LLMs and Machine Learning. 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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