Senior GenAI/LLM Developer – Azure AI, Python, RAG, NLP

Job Title: Senior GenAI/LLM Developer – Azure AI, Python, RAG, NLP Experience Required: 8–10 years Skills: Digital: Natural Language Processing (NLP), Azure Machine Learning (ML), AI & GenAI for BPS Role Description: This role requires an experienced AI/LLM Developer with strong hands‑on expertise in Azure AI, LLM application development, RAG pipelines, Lang.

Chain/Lang. Graph, and Python‑based AI engineering. The developer will build enterprise‑grade AI applications, integrate them into large systems, and ensure safety, governance, and performance across BFSI environments. Core Responsibilities: LLM Application Development Build and deploy AI applications using Azure AI Foundry and Azure OpenAI Develop chatbots, copilots, Q&A systems, and document summarization workflows Conversational & Enterprise AI Integration Integrate AI capabilities into enterprise systems via APIs and microservices Build scalable backend services for AI‑driven workflows Lang.

Chain & Lang. Graph Expertise Develop LLM workflows using chains, retrievers, tools, and graph‑based orchestration Implement multi‑step reasoning and structured LLM pipelines Advanced Agentic Systems Build agentic architectures with tool‑calling, supervisor/worker models, and memory management Implement context‑aware, stateful conversation flows RAG Pipeline Development Build Retrieval‑Augmented Generation (RAG) solutions using: Azure AI Search Embeddings Enterprise data sources Optimize retrieval, grounding, and hallucination‑reduction strategies NLP Engineering Design NLP pipelines for: Text extraction Classification Summarization Entity recognition Semantic search Python AI Engineering Develop scalable Python services with async processing Build APIs and optimize for latency, cost, and token usage Apply engineering best practices for production‑grade AI systems Safety & Governance Implement guardrails, moderation, and prompt validation Build evaluation frameworks for accuracy, safety, and compliance Align with Responsible AI and BFSI governance standards Cloud & DevOps (Azure) Deploy workloads on Azure App Service, Functions, AKS Integrate Entra ID for authentication and RBAC Support CI/CD, logging, monitoring, and observability Core Requirements & Domain Experience: 5–8+ years of experience in AI/ML/LLM development Strong Python engineering background Deep experience with the Azure AI stack, LLMs, and RAG Experience with NLP, Azure Machine Learning, and GenAI BFSI domain experience is a plus MLOps / LLMOps experience is a plus Responsible AI knowledge is a plus