SDE II, Amazon India Ads

AI in this role

bedrockpytorchtensorflowsagemaker

ragai-safety

If you are excited by the opportunity to build highly innovative, scalable, high-performance, and low-latency solutions at the intersection of digital advertising and AI/ML, this may be the right career move for you. Be part of an innovative and passionate team leveraging generative AI, large language models, and advanced machine learning to build a successful, sustainable, and strategic international advertising business for Amazon, from the ground up.

Key job responsibilities
You will design and build large-scale ML infrastructure for online recommendation, ads ranking, personalization, and search — including integrating generative AI and LLM-based approaches to improve ad relevance and customer experience.

You will work with modern AI/ML and Big Data technologies such as AWS (SageMaker, Bedrock, EMR), Spark, PyTorch/TensorFlow, vector databases, LLM serving frameworks, and real-time inference pipelines.

You will drive appropriate technology choices for the business — evaluating when to apply traditional ML vs. foundation models, leading continuous innovation, and shaping the future of India Advertising.

You will follow and contribute to the technical direction of our offerings and solutions, working across the India Advertising organization with many different technologies including LLM orchestration, RAG pipelines, and agentic systems.

You will code, troubleshoot, and support high-volume, low-latency distributed systems — including ML model serving and real-time feature stores. What you create is also what you own.

You will participate in implementing key functional areas of the customer experience, including AI-powered advertising products, website applications, and platform services.

You will work with the business team and project managers to convert functional requirements into technical features — leveraging AI to accelerate experimentation and delivery.

You will own operating our products, driving excellence in feature stability, performance, flexibility, and responsible AI practices.

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

SDE II, Amazon India Ads at Amazon rates 91 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.

Key facts

SDE II, Amazon India Ads is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, KA, Bengaluru.
The job was posted on October 6, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

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

RAGAI SafetyBedrockPyTorchTensorFlowSagemaker

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you think about the risk of an AI system in this kind of role failing silently?
What are the limits of Bedrock that you've run into, and how did you work around them?
What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, AI Safety, Bedrock, PyTorch, and TensorFlow. 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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