Key Responsibilities
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Skills: Digital : Natural Language Processing (NLP)~Digital : Azure Machine Learning (ML)~AI & GenAI for BPS
Experience Required: 8-10
Job Description:
LLM Application Development
Build and deploy AI apps using Azure AI Foundry & Azure OpenAI for chatbots, copilots, Q&A, and document summarization.
Conversational & Enterprise AI Integration
Integrate 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.
Pay: $40.00-$70.00 per hour
Experience:
- Capital Market: 5 years (preferred)
- AI Developer: 5 years (preferred)
Work Location: In person
