IN_Associate_ AI Engineer_GCC_Advisory_Mumbai

Design, build, integrate, and support production-grade AI applications powered by LLMs, agentic workflows, RAG, vector search, AI Gateway integrations, and Azure cloud-native services.

Implement agentic workflows, AI orchestration, and RAG-based solutions using frameworks like LangChain and LangGraph, optimizing for latency, scalability, cost, and reliability.

Collaborate with cross-functional teams (MLOps, security, compliance, platform) to ensure secure, scalable, observable, and enterprise-compliant AI feature delivery and production readiness.

4-7 years of experience in AI/ML engineering with hands-on involvement in backend development and AI integrations.

Bachelor's degree (B.Tech/Bachelor of Engineering) in a relevant field.

Strong programming skills in Python plus at least one backend language (Java or Node.js).

Proficiency in Azure Cloud deployment including Azure Functions, Azure Container Apps, Azure AI Search, vector databases, Redis, and Cosmos DB.

Experienced in building complex, production-ready AI systems leveraging LLMs, agentic AI, orchestration frameworks, and vector embedding technologies.

Familiar with cloud-native architectures on Azure and production engineering practices including observability, reliability, and security.

Ability to collaborate effectively with multiple enterprise teams to meet governance, compliance, and operational standards in large-scale AI solutions.