Senior Software Engineer – AI/Agentic Platforms

Google Inc.; Atlanta (GA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google in Atlanta, GA (USA) is hiring software engineers to build next-generation AI-enabled platforms and scalable backend services. You'll work on deploying agent workflows, large-scale data models, and cutting-edge AI/ML features integral to Google's product suite.

The role emphasizes full feature lifecycles, strong collaboration, and advancing safety, security, and performance at scale within a fast-paced environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in software development with Python, Java, or Kotlin.
• Experience with building AI/ML platforms for cloud customers.
• Master's degree or PhD in Computer Science or related technical fields (preferred).
• Experience with web applications (preferred).
• Proficiency in building highly scalable backend services that interact with complex data models (preferred).
• Understanding of Generative AI, LLMs, MCP (preferred).
• Familiarity with command-line interfaces, text processing, and developing web applications (preferred).

Responsibilities

• Design, implement, and refine AI agents and their underlying skills to automate complex user workflows.
• Build and maintain automated evaluation frameworks to measure agent performance, accuracy, and safety across different datasets.
• Own the full lifecycle of complex features from initial design documentation and planning to deployment and post-launch maintenance.
• Prioritize observability by implementing logging, monitoring, and alerting frameworks.
• Drive high standards for code reviews, testing coverage, and technical documentation to improve overall codebase stability.

Skills

Python

Java

Kotlin

Education

Bachelor's degree or equivalent practical experience

Job description

Google in Atlanta, GA (USA) is hiring software engineers to build next-generation AI-enabled platforms and scalable backend services. You'll work on deploying agent workflows, large-scale data models, and cutting-edge AI/ML features integral to Google's product suite.

The role emphasizes full feature lifecycles, strong collaboration, and advancing safety, security, and performance at scale within a fast-paced environment.