Senior Software Engineer, Agentic Infrastructure, GBO Engineering
AI Tools
Tech Stack
Agent Workflow
Building agentic infrastructure with RAG pipelines, multi-hop reasoning, tool execution, and agent orchestration for a Customer 360 context across events, incentives, and learning domains.
About the Role
As a Senior Software Engineer on the GBO Engineering team, you will take the leading role in architecting the agentic infrastructure that will unify currently fragmented domains. GBO Engineering is pivoting to a proactive and intelligent agentic ecosystem. The team manages the critical intersection of Events, Incentives, and Learning and owns the data that defines how Google interacts with its global customers and the up-skilling of the sales workforce to execute business goals.
You will be responsible for building the technical infrastructure that allows agents to traverse event registrations, agreement histories, and incentive eligibility to generate autonomous action plans for sellers.
Responsibilities:
- Design and implement a unified middleware that abstracts workflows across domains, enabling agents to perform multi-hop reasoning and tool execution
- Build Retrieval-Augmented Generation (RAG) pipelines and API abstractions that pull real-world signals from existing data sources to provide agents with a high-fidelity "Customer 360" context
- Write and review code, ensuring the agentic infrastructure meets Google-scale latency, security, and compliance standards
- Establish the engineering standards for agent orchestration within the team, including prompt engineering versioning, evaluation frameworks, and cost or latency optimization
Minimum qualifications:
- Bachelor's degree or equivalent practical experience
- 7 years of experience coding in Kotlin, Java, Python, and Go
- Experience with software engineering, software architecture, distributed systems, system design, and Java
- Experience in setting up agentic infrastructure or developing agentic workflows
- Experience with Large Language Model (LLM) orchestration frameworks (e.g., LangChain) or internal Gemini integration tools
- Experience with conversational agents and generative AI concepts (e.g., large language models, fine tuning, distillation, function calling, and orchestration), development workflows, and use cases
Preferred qualifications:
- Experience with Google Cloud Platform (GCP) services or equivalent cloud platforms
- Knowledge of evaluation and testing frameworks for AI agents