IN_Senior Associate_ AI Engineer_GCC_Advisory_Bangalore
PwC IndiaMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, and mid-level GenAI role increase competitive density.
GenAI engineering is specialized yet transferable across industries, so background fit sensitivity is medium.
Explicit 4–7 years and mandatory GenAI/LLM production skills make shortlisting highly strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy enterprise-scale Generative AI (GenAI) solutions focusing on real-world production readiness.
Build and scale Retrieval-Augmented Generation (RAG) systems and integrate with graph-based memory and multi-agent frameworks like LangGraph, LangChain, and AutoGen.
Collaborate with cross-functional teams to translate business needs into scalable AI-powered systems ensuring scalability, reliability, and maintainability.
Minimum Requirements
2 to 5 years of total AI/ML or software engineering experience with at least 2 years hands-on in building and deploying GenAI systems.
Proficiency in Python and experience with large language models (LLMs) such as GPT-4, Claude 2, or Gemini.
Experience with RAG systems, multi-agent frameworks (LangGraph, LangChain, AutoGen), and cloud-native deployments (APIs, containers, microservices).
Educational qualification: BE/BTech, MCA, MTech, or MBA.
Ideal Candidate Profile
Experienced in building production-ready GenAI systems with strong software engineering practices (version control, testing, CI/CD).
Familiarity with advanced GenAI techniques including multi-agent orchestration, graph-based memory, and tool-using agents.
Demonstrated ability to work across teams to deliver scalable and maintainable AI solutions for enterprise use cases.