Forecasting & AI-Driven Ads Tech Engineer

Amazon; Palo Alto (CA); On-site; USD 165,000 - 224,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon.com Services LLC in Palo Alto, CA is seeking a software engineer to drive forecasting and recommendation solutions at scale. You will design scalable APIs and Agentic LLM applications, bridging front-end and back-end work with distributed systems expertise.

You will mentor teammates, collaborate across teams, and contribute to revenue growth through robust forecasting. The role emphasizes performance, reliability, and user-centric interfaces in a fast-paced ads tech environment.

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years in design or architecture of scalable systems.
• 1+ year in software development engineer or related role.
• 1+ year designing large-scale multi-tier distributed software.
• Bachelor's degree or foreign equivalent in CS/Engineering/Math.

Responsibilities

• Design and implement scalable APIs and microservices for real-time forecasting and recommendations.
• Build Agentic LLM applications with intuitive user experiences.
• Collaborate with scientists to productionize statistical models.
• Develop data pipelines and storage for large advertising data.
• Improve performance and operational excellence through monitoring and best practices.

Skills

3+ years software dev

distributed systems

front-end & back-end

C#, C++, Java

OO design

Education

Bachelor's in CS/Engineering

Tools

C#

C++

Java

Perl

Job description

Amazon.com Services LLC in Palo Alto, CA is seeking a software engineer to drive forecasting and recommendation solutions at scale. You will design scalable APIs and Agentic LLM applications, bridging front-end and back-end work with distributed systems expertise.

You will mentor teammates, collaborate across teams, and contribute to revenue growth through robust forecasting. The role emphasizes performance, reliability, and user-centric interfaces in a fast-paced ads tech environment.