Artificial Intelligence Engineer
About the role
Build and deploy AI apps using Azure AI Foundry & Azure OpenAI for chatbots, copilots, Q&A, and document summarization. • Conversational & Enterprise AI IntegrationIntegrate AI capabilities into enterprise systems through APIs and microservices.LangChain & LangGraph • Expertise Develop LLM workflows using chains, tools, retrievers, and graph-based orchestration for multi-step reasoning. • Advanced Agentic Systems Implement tool-calling, multi-agent architectures (supervisor/worker), and manage conversation memory/context. RAG Pipeline Development • Build retrieval-augmented generation solutions using Azure AI Search, embeddings, and enterprise data sources. • NLP Engineering Design pipelines for text extraction, classification, summarization, entity recognition, and semantic search. • Python AI Engineering Develop scalable Python services with async processing, APIs, and optimization for latency, cost, and token usage. • Safety & Governance Implement guardrails, moderation, prompt validation, and evaluation frameworks to ensure accuracy and compliance. • Cloud & DevOps (Azure)Deploy on Azure (App Service, Functions, AKS), integrate Entra ID, and support CI/CD, logging, and monitoring. • Core Requirements & Domain Experience 5–8+ years’ experience, strong Python, Azure AI stack, LLM/RAG expertise; BFSI, MLOps/LLMOps, and Responsible AI are a plus.