IN_Senior Associate_Agentic Pipeline Engineer _GCC_Advisory_Bangalore
PwC India (company site, opens in a new tab)3–7 yrsBengaluruOn-siteDirect career pageEst. 16–30 LPA
Posted 8h 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 integrations for tool calling, orchestration, prompt management, memory, routing, and workflow execution with focus on accuracy, latency, reliability, and cost optimization.
- Collaborate with architects, engineers, data scientists, and business stakeholders to translate complex business use cases into production-grade Agentic AI solutions including containerization and CI/CD deployment.
Minimum Requirements
- 3–7 years of software engineering or AI engineering experience.
- Strong programming skills in Python and experience with Generative AI and Large Language Models application development.
- Hands-on experience with agent frameworks such as LangChain, LangGraph, Microsoft Semantic Kernel, or similar, and knowledge of Retrieval-Augmented Generation (RAG) architecture and vector databases like FAISS, Pinecone, Weaviate, or equivalent.
- Exposure to at least one major cloud platform (Azure, AWS, or GCP) and experience in API development, Git, Docker, and CI/CD.
Ideal Candidate Profile
- Experienced in building scalable AI systems with complex agentic workflows integrating multiple enterprise systems and external tools.
- Comfortable working with advanced agent frameworks and embedding/retrieval optimization techniques to operationalize GenAI applications.
- A technically strong AI engineer with hands-on production experience in containerized cloud environments, collaborating across cross-functional teams to deliver enterprise-grade AI solutions.