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. 15–28 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and deploy Generative AI (GenAI) solutions for real-world, production-ready enterprise applications.
- Build and scale Retrieval-Augmented Generation (RAG) systems and integrate graph-based memory and tool-using agents to enhance LLM capabilities.
- Implement and orchestrate multi-agent frameworks using tools like LangChain, AutoGen, and LangGraph while ensuring system scalability, reliability, and maintainability.
Minimum Requirements
- 3 to 7 years of total experience in AI/ML or software engineering with at least 2 years of hands-on GenAI system development and deployment.
- Proficiency in Python and working knowledge of cloud-native deployments including APIs, containers, and microservices.
- Experience working with Large Language Models (LLMs) such as GPT-4, Claude 2, or Gemini and strong knowledge of RAG systems and multi-agent frameworks (LangChain, LangGraph, AutoGen).
- Bachelor’s degree in Computer Science, Engineering, or related field (Bachelor of Engineering or MBA mentioned).
Ideal Candidate Profile
- Experienced in developing scalable AI/ML solutions with a focus on Generative AI and multi-agent orchestration for enterprise contexts.
- Demonstrated ability to collaborate cross-functionally to translate business needs into AI-powered applications using cutting-edge AI engineering practices.
- Familiar with advanced LLM tooling, open-source GenAI frameworks, and cloud-based LLM services, indicating strong technical depth in AI ecosystem.