Level

AmazonPosted 4mo ago

Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration

Software Development Engineer II, Digital Pricing and Competitive Intelligence (D-PRICIQ ), Digital Acceleration at Amazon scores 89 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

pytorchtensorflow
We invite you to be part of a high-impact team that is shaping the future of pricing at Amazon. The Digital Pricing team is at the forefront of leveraging AI and machine learning to compute millions of prices across our digital products. We are looking for a Software Development Engineer to help design and build the next generation of our AI-powered pricing systems.

As a SDE, You'll will develop next generation pricing systems that process millions of prices daily. Our platform combines pricing strategies with advanced AI models, including Large Language Models (LLMs), GenAI and custom neural networks, to make real-time pricing decisions that directly impact our business and customers.

Joining the Digital Pricing team means taking on a role where technical expertise meets real-world impact. From the outset, you’ll work with advanced AI technologies to develop solutions that power pricing across Amazon’s extensive digital products. This team is not only building innovative pricing systems—but also redefining how millions of customers experience Amazon’s digital products.

The technical challenges you'll tackle are unique. You'll work with advanced AWS infrastructure, design distributed systems at massive scale, and implement AI solutions that directly impact Amazon's digital business. Whether you're optimising model performance, or developing new pricing systems, you'll have the resources and support to succeed.

By joining Digital Pricing, you're not just changing teams – you're accelerating your career while solving complex challenges that matter. We're committed to helping you become the best engineer you can be, all while working on systems that shape Amazon's future.

A day in the life
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Your growth matters to us. You will have a structured path to achieve your career aspirations, backed by dedicated mentorship from senior technical leaders. You'll have access to specialised AI/ML training programs, conference opportunities, and innovation time to explore new technologies. Our engineers regularly present their innovations, and work to senior leadership. Our team's culture emphasises both individual growth and collective success.


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 software programming language
- Experience with AWS or cloud technologies
- Knowledge of computer science fundamentals (e.g., data structures & algorithms, OO design)

Preferred qualifications

- Experience with AI/ML technologies
- Understanding of AI model optimisation techniques
- Experience with large language models (LLMs)
- Familiarity with machine learning frameworks (PyTorch, TensorFlow)

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

PyTorchTensorFlow

Questions you could be asked

  1. What's a project where you used PyTorch hands-on?
  2. Walk me through how you've used TensorFlow in your day-to-day work.
  3. How would you decide a model or AI system is ready to ship?
  4. 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: 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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