3 days ago
Montpelier, VT, USA +61 moreMid Level
Base Salary
$61k - $100k/yr
Responsibilities
- 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 throughout delivery stages.
- Apply agent orchestration, LangChain, LangGraph, and vector database methods to solution design.
- Support LLM evaluation, guardrails, and LLMOps activities.
- Translate requirements into technical components for modernized and greenfield applications.
- Document design decisions, code patterns, and implementation details for client delivery teams.
Requirements
- Bachelor’s degree required.
- At least one year of experience required.
- Generative AI, Google Cloud, and software engineering coursework or internship exposure is preferred.
- Experience with Python programming, prompt engineering, and API integration is preferred.
- Familiarity with LLM evaluation, guardrails, and retrieval-augmented generation is preferred.
- Exposure to cloud-native application development and testing on Google Cloud is preferred.
- Curiosity, adaptability, teamwork, active listening, and clear communication are preferred.
Benefits
- Up to 80% travel is required.
- Eligible employees may receive an annual discretionary bonus.
- Benefits include medical, dental, vision, 401k, holiday pay, vacation, and personal and family sick leave.
Tech Stack
Google CloudPython
Categories
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.