IN_Associate_ AI Engineer_GCC_Advisory_Mumbai
Core
Design, build, and support production-grade AI applications powered by LLMs, agentic workflows, RAG, and vector search for enterprise clients.
Role type
Associate AI Engineer (GenAI/LLM)
Builds
Application-facing AI features, agentic workflows, and RAG-based solutions
Domain
Enterprise AI / Cloud-native (Azure)
Deliverable
production ML models
Required skills
LLMs, agentic workflows, RAG, vector embeddings, prompt engineering, LangChain, LangGraph, Python, Java/Node.js, Azure Cloud, Azure AI Search, Redis, Cosmos DB, Azure Functions, Azure Container Apps
Preferred skills
Blob Storage, Iceberg, Kubernetes, Docker, CI/CD, MLOps pipelines, Azure AI Foundry, AWS AI services, GenAI governance
Technologies
Azure, LangChain, LangGraph, Redis, Cosmos DB, Azure AI Search
Responsibilities
Build application-facing AI features; Integrate with MLOps-managed agents; Design agentic workflows; Develop RAG-based solutions; Deploy scalable AI solutions on Azure; Optimize AI applications for performance; Implement production readiness practices; Partner with security and compliance teams; Document integration patterns and architecture.
Seniority
Associate, hands-on IC