Software Development Engineer II (ML), CMT

Amazon is hiring a Software Development Engineer II (ML), CMT in Chennai, United States. Level rates it ; you can apply on Amazon.

Level's read on this job

On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
Tools and skills the posting cites include LLMs, AI agents and software development.
Level classifies it as a mid-level role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Amazon seeks an SDE to build competitive monitoring intelligence engines using machine learning, large language models, and agentic workflows.

LLMs

ai-agentssoftware-developmentmachine-learningdistributed-systemsmlopsobservability

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.

How we rate this

Software Development Engineer II (ML), CMT at Amazon rates 85 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer II (ML), CMT is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in IN, TN, Chennai.
The job was posted on August 25, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsSoftware DevelopmentMachine learningDistributed SystemsMLOpsObservabilityLLMs

Also common in software engineer jobs at this level

Python C++AWS Kubernetes Java Generative AI

Pay

Typical software engineer job: $167k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where software development was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where mlops was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI agents, Software Development, Machine learning, Distributed Systems, and MLOps. 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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