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,
LangChain/LangGraph, 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
- LangChain & LangGraph 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
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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