Role & responsibilities
Develop and implement agentic AI systems including tool-calling, autonomous task planning and execution, multi-step reasoning workflows, agent memory management, and human-in-the-loop escalation mechanisms for complex enterprise use cases. Leverage Agentic frameworks like LangGraph, CrewAI, Autogen, cloud-based frameworks, etc.
Develop and deploy agentic AI solutions using any of the cloud-native services as per defined requirement (Azure AI Foundry, AWS Bedrock Agents, GCP Vertex AI Agent Builder, etc.), and associated cloud services for scalable agent execution.
Implement and maintain evaluation frameworks for agentic AI solutions assessing agent reasoning, tool-use reliability, multi-step task completion, hallucination risk, and autonomous decision quality to ensure production readiness and continuous performance improvement.
Design, develop, and optimize RAG pipelines end-to-end (using LangChain, LlamaIndex, etc.) including chunking strategies, embedding model selection, integrate production-grade vector databases (Pinecone, Weaviate, OpenSearch, Azure AI Search, etc.), hybrid retrieval, re-ranking.
Design, develop,



and optimize prompt engineering strategies, including prompt chaining, few-shot/zero-shot techniques, and prompt templating, to enhance the accuracy, reliability, and consistency of LLM-powered applications and agentic workflows.
Collaborate with cross-functional teams (client managers, data scientists, architects, DevOps engineers) to translate business requirements into technical implementations — ensuring alignment with solution architecture defined by the lead architects.
Implement and uphold Python development best practices during implementation.
Monitor solution performance, track key metrics, test all affected scenarios and proactively adjust implementations — identifying issues in accuracy, latency, throughput, and cost, and applying optimizations at the code and infrastructure level.
Communicate technical findings, implementation progress, and insights to stakeholders — contributing to documentation, sprint demos, and knowledge-sharing within the team

Preferred candidate profile
Bachelor's Degree
4 years of experience

📌 Generative Ai Data Scientist Senior Associate Telangana
🏢 PwC
📍 Telangana