AI Engineer

• Develop and fine-tune LLMs and NLP models using Hugging Face Transformers, OpenAI APIs, and LangChain.
• Implement retrieval-augmented generation (RAG) for intelligent AI-driven question answering and chatbot applications.
• Build and deploy AI models using FastAPI, Flask, and cloud-based inference engines (Azure ML, AWS SageMaker, GCP AI Platform).
• Optimize embedding search and vector retrieval using FAISS, Pinecone, and ANN-based search algorithms.
• Work on AI model deployment, API integration, and real-time AI application development in production environments.

AI/ML Developer – LLMs, NLP, AI Applications

• - **Prompt Engineering:** Design, test, and optimize complex prompts for accurate financial text and data extraction.
• - **Data Visualization:** Command generative AI tools and programmatic code to output rich analytics charts.
• - **Process Automation:** Build autonomous LLM workflows and agents to replace manual reporting processes.
• - **Model Customization:** Fine-tune or apply RAG (Retrieval-Augmented Generation) to models using financial documentation.
• - **Data Processing:** Clean, manipulate, and restructure raw financial files into optimized prompt payloads.

• Design, build, and deploy AI-powered applications on Azure
• Work with Azure AI Services, Azure OpenAI, Copilot Studio, Power Platform, and multi-LLM orchestration to deliver chatbots, knowledge assistants, and enterprise copilots
• Collaborate with data engineers and business teams to create production-ready AI solutions that are scalable, secure, and impactful
• Build AI applications: chatbots, knowledge assistants, and copilots
• Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers
• Work with data engineers to leverage datasets for RAG workflows
• Integrate AI solutions into business processes using Power Platform
• Deploy AI apps on Azure (Functions, App Services, AKS, VMs)
• Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub Actions
• Monitor performance, reliability, and cost using Azure Monitor and Application Insights
• Maintain technical documentation and reusable assets
• Stay current with Azure AI, Copilot, and related technologies

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AI/ML Developer – LLMs, NLP, AI Applications

AI Engineer

Azure AI Engineer