IN_Senior Associate_Agentic Pipeline_GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)3–7 yrsBengaluruOn-siteDirect career pageEst. 14–28 LPA
Posted 10h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and operationalize AI-driven agentic pipelines and multi-agent workflows leveraging Large Language Models (LLMs).
- Build reusable components and integrate AI agents with REST APIs, databases, vector stores, and enterprise applications.
- Implement production-grade GenAI solutions including RAG pipelines, containerized deployment (Docker), CI/CD, and ensure reliability, observability, and performance optimization.
Minimum Requirements
- 3 to 7 years of software engineering or AI engineering experience.
- Strong programming experience in Python and hands-on knowledge of Generative AI and LLM applications.
- Experience with RAG architecture, vector databases/search tools (FAISS, Pinecone, Weaviate, Chroma, Azure AI Search, or equivalent), and integration of REST APIs and enterprise systems.
- Bachelor’s degree in Computer Science, Engineering, or related fields.
Ideal Candidate Profile
- Demonstrated expertise in building complex AI/agentic workflows and experience with frameworks like LangGraph, Semantic Kernel, AutoGen or similar.
- Experience working in cloud environments (Azure, AWS, or GCP) and familiarity with software engineering best practices including Docker, Git, CI/CD.
- Ability to collaborate effectively with architects, data scientists, and business stakeholders to translate business use cases into scalable AI solutions.