IN_Senior Associate_ AI Engineer_GCC_Advisory_Bangalore
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Protocol Intelligence
Data-driven signals on your job's competitivenessStrong PwC brand, metro Bangalore location, and a mid-level experience band increase competitive applicant density.
GenAI and LLM engineering skills transfer across industries but require specialized tool and RAG experience, so medium sensitivity.
Explicit years, mandatory GenAI/LLM experience and specific tooling/cloud deployment requirements raise screening strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy production-ready Generative AI solutions focusing on RAG systems, LLMs, and multi-agent frameworks.
Integrate graph-based memory and tool-using agents to enhance capabilities of large language models.
Collaborate cross-functionally to translate business needs into scalable AI-powered systems ensuring scalability, reliability, and maintainability.
Minimum Requirements
2 to 5 years total experience in AI/ML or software engineering with minimum 2 years hands-on GenAI experience.
Strong experience with LLMs like GPT-4, Claude 2/Gemini and knowledge of RAG and multi-agent frameworks (e.g., LangChain, AutoGen, LangGraph).
Proficiency in Python and familiarity with cloud-native deployments (APIs, containers, microservices).
Bachelor’s degree in Engineering, Master’s in Engineering, or MBA required; Work Experience Required: 2-5 years in AI/ML or software engineering.
Ideal Candidate Profile
Experienced AI engineer skilled in building scalable, production-grade GenAI systems using advanced agentic AI technologies and frameworks.
Strong software engineering background demonstrating best practices such as version control, testing, and CI/CD in cloud environments.
Capable of integrating complex multi-agent orchestration, graph memory systems, and tool-based agents in enterprise AI solutions.