Level

AmazonPosted 4w ago

Software Development Engineer II (ML), CMT

Software Development Engineer II (ML), CMT at Amazon scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

IN, TN, Chennaimidfull-time

AI in this role

ai-agents
As a member of Amazon's Worldwide Pricing and promotions team, you'll play a key role in the evolution of our Competitive Monitoring team to solve the world's most complex technical challenges in Crawling, Large-scale computing, Distributed systems, Web applications, and using Large language models in agentic workflows to build scalable, robust solutions at amazon scale.

Key job responsibilities
The Challenge
Build the intelligence engine that powers Amazon's competitive advantage. We're looking for engineers who can architect real-time systems that ingest, analyze, and act on competitive data at scale - using machine learning, agentic workflows, and latest observability to solve problems that directly impact billions of shopping decisions. If you're energized by building systems that are simultaneously intelligent, resilient, and observable - and you want ownership of that entire stack - this is for you.

What You'll Do
The Competitive Monitoring team in Bangalore/Chennai is pioneering new approaches to competitive intelligence collection. You'll design systems that think by architecting agentic workflows that autonomously solve complex business problems while maintaining safety and observability end-to-end. You'll build for scale, engineering real-time, highly available solutions that handle Amazon's competitive landscape at massive volume. You'll own the full stack - from intuitive APIs and interfaces to robust backend systems, applying best practices in security, performance, accessibility, and usability. And you'll collaborate globally, partnering with teams in Seattle and across Amazon to shape the future of competitive intelligence.

This is a growing, dynamic space where your work directly influences how customers discover products and make decisions.

A day in the life
A typical day involves:

(a) Productionizing and maintaining ML models - deploying models to production and ensuring their ongoing reliability

(b) Monitoring model health and data drift - developing algorithms to detect and address performance degradation and data quality issues

(c) Accelerating the ML/AI path to production - partnering closely with scientists to streamline the journey from development to deployment

(d) Building observability and alerting infrastructure - architecting tools to monitor, trace, and alert on AI model outputs

Basic qualifications

- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Bachelor's degree in computer science or equivalent

Preferred qualifications

- 4+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience
- Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques

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.

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 Agents

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. How would you decide a model or AI system is ready to ship?
  3. 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: AI Agents. 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.

Want your resume actually rewritten for this job?

The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.

Similar roles

Software Engineering roles rated AI Level 4 at other companies.

What kind of AI work fits you?

Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.

Find my next step

More jobs at Amazon

Related searches

Same AI level

Apply on Amazon