- Core AI Engineering & LLM Frameworks:
Python, LangChain, LangGraph, Auto Gen, Google Agent SDK, Model Context Protocol, Skills-based agent frameworks.
- GenAI / Agentic AI Systems:
LLM application development, agentic AI architectures, multi-agent workflows, prompt engineering, AI system design, tool/function calling, enterprise AI integration.
- RAG, Embeddings & Vector Search:
Retrieval-Augmented Generation pipelines, embeddings, semantic search, context retrieval strategies, Azure AI Search, Pinecone, FAISS, Redis Vector, pgvector.
- Backend & API Engineering:
Python, Rapid API, REST API design, scalable API platforms, event-driven systems, microservices architecture, third-party system integration.
- Cloud, Infrastructure & Containers:
Azure OpenAI, Azure AI Services, Docker,



Kubernetes, OpenShift, cloud-native application development, containerized deployments.
- Databases & Data Platforms:
SQL, NoSQL, MongoDB, Redis, ClickHouse, database design, performance optimization, data accuracy and integrity.
- AI Model Engineering:
Model fine-tuning, LoRA, BERT, LLM architecture understanding, evaluation techniques, AI performance monitoring.
- AI Governance, Security & Responsible AI:
PII protection, data privacy, AI security, compliance, responsible AI practices, governance controls, monitoring and observability frameworks.

📌 Walk-in || Gen AI Developer (Chennai)
🏢 EY
📍 Chennai