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 and integrate scalable backend services and reusable components for tool calling, orchestration, prompt management, retrieval-augmented generation (RAG), and workflow execution with enterprise systems and APIs.
- Implement and optimize GenAI applications with guardrails, validation, observability, error handling, containerization (Docker), and CI/CD practices to ensure accuracy, latency, reliability, and cost-efficiency.
Minimum Requirements
- 3-7 years of experience in software engineering or AI engineering.
- Strong programming experience in Python and hands-on understanding of Generative AI and Large Language Models (LLMs).
- Experience with RAG architecture, vector databases (e.g., FAISS, Pinecone, Weaviate), REST API integration, and prompt engineering.
- Bachelor's degree in Engineering, Computer Science, or related technical field.
Ideal Candidate Profile
- Proven ability to build production-grade AI and agentic workflow solutions using frameworks like LangGraph, LangChain, Semantic Kernel, or AutoGen.
- Experience working with cloud platforms (Azure, AWS, or GCP), backend API development (FastAPI), and containerization with Docker in a software engineering environment.
- Strong technical focus on scalable, reliable AI system design integrating enterprise data sources and tools with multi-step autonomous AI agents.