IN_Senior Associate_GenAI and Agentic AI_GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)3–7 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted 9h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy production-ready Generative AI solutions leveraging Retrieval-Augmented Generation (RAG), multi-agent frameworks, and advanced tooling.
- Build and scale enterprise RAG systems integrating graph-based memory and tool-using agents to enhance LLM capabilities.
- Collaborate with cross-functional teams to translate business needs into scalable GenAI-powered systems while ensuring software engineering best practices for maintainability and scalability.
Minimum Requirements
- 3 to 7 years of total experience in AI/ML or software engineering, with at least 2 years hands-on GenAI development experience.
- Proficiency in Python and familiarity with cloud-native deployments such as APIs, containers, and microservices.
- Experience working with Large Language Models like GPT-4, Claude 2, Gemini, and frameworks such as LangChain, AutoGen, or LangGraph for RAG and multi-agent systems.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Ideal Candidate Profile
- Demonstrated expertise in building and deploying large-scale Generative AI and multi-agent orchestration frameworks in production.
- Proven experience integrating graph-based memory and tool-using agents to enhance AI capabilities, signaling strong domain knowledge in advanced AI architectures.
- Strong software engineering discipline with focus on scalable, maintainable code and experience collaborating across business and technical teams.