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# Engineer II, Google Cloud

- **Company:** PwC
- **Location:** Chicago, IL, United States
- **Salary:** $61,000 - $100,000
- **Contract:** Internship / Graduate position
- **Skills:** LangGraph Framework, Artificial Intelligence, Application Testing, Cloud Engineering, Databases, Programming Tools, Python (Programming Language), Cloud Services, Software Engineering, Google Cloud, Spring Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Google Vertex AI, Generative AI, Data Analytics, Machine Learning Operations, Evaluation of Large Language Models, Service Stack, Programming Languages
- **Published:** November 10, 2026
- **Apply:** https://www.jobmonkeyjobs.com/career/28172575/Engineer-Ii-Google-Cloud-Illinois-Chicago-7457

## About the Role

At least a Bachelor's degree

 - At least 1 years of experience

What Sets You Apart

 - Generative AI, Google Cloud, and software engineering coursework or internship exposure
 - Python programming, prompt engineering, and API integration experience
 - Familiarity with LLM evaluation, guardrails, and retrieval-augmented generation
 - Exposure to cloud-native application development and testing on Google Cloud
 - Demonstrating curiosity, adaptability, and teamwork in fast-paced project settings
 - Practicing active listening and clear communication with technical teams

## Description

As a Engineer II, Google Cloud you will contribute to the design, build, testing, and optimization of cloud-native applications on Google Cloud, supporting work across the full software development lifecycle from new product ideas to modernization efforts. As an Associate you will learn through hands-on project tasks, build technical skills in a fast-paced environment, adapt to changing needs, and help deliver quality work while developing your personal brand within our Advisory practice. In this role at PwC, you will support work across Cloud Engineering, Data & Analytics, applying software engineering methods, AI-native engineering techniques, and modern development tools to help deliver business needs across technology stacks, programming languages, and cloud services., Building cloud-native applications on Google Cloud across the software development lifecycle

 - Developing generative AI solutions using Google Vertex AI, LLM APIs, and Python
 - Designing prompt engineering, context engineering, and retrieval-augmented generation workflows
 - Testing application functionality, model behavior, and system performance across delivery stages
 - Applying agent orchestration, LangChain, LangGraph, and vector database methods to solution design
 - Supporting LLM evaluation, guardrails, and LLMOps activities to improve reliability and usability
 - Translating requirements into technical components for modernized and greenfield application builds
 - Documenting design decisions, code patterns, and implementation details for client delivery teams

## About PwC

When you work with PwC's Engineering, you work with builders who live and breathe advanced software-building techniques. AI-native by design and outcomes-driven, we execute at speed and at scale. We build the technology that powers modern business, from core cloud platforms to data and AI, from digital products to modern operations. We architect and orchestrate your cloud, AI, and data into one intelligent, evolving system — so you're built for what's next, not just what's now, with confidenc...
**Industries:** Consulting

- **Size:** 5,001+ employees
- **HQ:** New York, United States of America
- **Hiring in:** Chicago, IL, New York, NY, Dallas, TX +98 more


[Company profile](https://www.wearedevelopers.com/companies/136-pwc)

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