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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building cloud-native applications on Google Cloud, with a strong focus on generative AI solutions using Python and LLM APIs. Proficient in prompt engineering, application testing, and documentation for effective client delivery.
Highest-signal resume keywords
Generative AIGoogle CloudPython ProgrammingPrompt EngineeringLLM Evaluation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Cloud-Native Application DevelopmentAPI IntegrationModel Behavior TestingAgent OrchestrationRetrieval-Augmented GenerationLangChainLangGraphVector Database MethodsSoftware EngineeringAI-Native Engineering Techniques
Soft Skills
CuriosityAdaptabilityTeamworkActive ListeningClear Communication
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
LLMOpsCloud EngineeringData & AnalyticsSoftware Development LifecycleClient Delivery
Tech Stack
Tools & technologiesCloudPython
About the role
Key responsibilities & impact- Build cloud-native applications on Google Cloud across the software development lifecycle
- Develop generative AI solutions using Google Vertex AI, LLM APIs, and Python
- Design prompt engineering, context engineering, and retrieval-augmented generation workflows
- Test application functionality, model behavior, and system performance across delivery stages
- Apply agent orchestration, LangChain, LangGraph, and vector database methods to solution design
- Support LLM evaluation, guardrails, and LLMOps activities to improve reliability and usability
- Translate requirements into technical components for modernized and greenfield application builds
- Document design decisions, code patterns, and implementation details for client delivery teams
- Contribute to work across Cloud Engineering and Data & Analytics using software engineering methods, AI-native engineering techniques, and modern development tools
Requirements
What you’ll need- At least a Bachelor's degree
- At least 1 years of experience
- 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
- Curiosity, adaptability, and teamwork in fast-paced project settings
- Active listening and clear communication with technical teams
- Ability to comply with PwC's sponsorship policy; PwC generally does not intend to hire candidates requiring current or future H-1B lottery sponsorship
- Willingness to travel up to 80%
Benefits
Comp & perks- Annual discretionary bonus
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
