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PwC brand, mid-level AI role in a metro, and in-demand LLM skillset increases candidate competition.
Role requires specialized LLM, RAG, and vector DB expertise, limiting cross-industry transferability.
Explicit 4–7 years plus mandatory LLM, RAG, and vector DB skills make filters strict.
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Design, implement, and optimize autonomous AI agents and Retrieval Augmented Generation (RAG) systems using LangChain and related frameworks.
Develop evaluation, monitoring, and logging systems to ensure agent performance, safety, and reliability.
Contribute to improving agent architecture and maintain documentation and best practices for development.
4 to 7 years of relevant work experience.
Bachelor's or Master's degree in Engineering, Technology, or MBA/MCA.
Proficiency in advanced Python programming, async programming, and API development.
Experience with vector databases, embedding models, RAG pipelines, knowledge retrieval systems, and prompt engineering.
Experience working with multiple large language model providers (e.g. OpenAI, Anthropic) and AI agent orchestration tools.
Strong understanding of safety principles related to AI agents and techniques to reduce hallucinations.
Familiarity with modern software development practices including Git, CI/CD, and testing frameworks.