AI Engineer

About the job

Core Focus Areas : • Build and optimize RAG (Retrieval-Augmented Generation) systems on Azure. • Deploy, fine-tune, and manage LLMs within Azure environments (OpenAI, HuggingFace, or custom models). • Deep integration with Azure AI Search, Cognitive Services, and Azure Machine Learning pipelines. • Collaborate on vector store (Qdrant / Azure AI Search), embeddings, and prompt orchestration. • Translate finance data structures into meaningful, conversational AI outputs. Must-Have Skills : • Strong experience with Azure AI Studio / Foundry or Azure OpenAI Service. • Proven knowledge of deploying and scaling LLM-based applications. • Practical hands-on with vector databases, embedding workflows, and tools like LangChain or Semantic Kernel. • Understanding of Power BI semantic models, finance document structures, and business logic. • Familiarity with Azure Machine Learning, Azure Functions, and Key Vault for secure orchestration. • Python-based AI pipeline development (FastAPI experience is a plus). Good-to-Have Skills : • Familiarity with financial or BI reporting systems (Power BI, QuickBooks, accounting workflows). • Experience integrating search + chat UIs (Streamlit, Gradio, React, etc.). • Background in building AI copilots or enterprise-focused assistants. Why This Role Matters : While your Technical Project Lead will guide the overall engineering and system integration, this AI Engineer will: • Specialize in the AI layer, handling model workflows, retrieval systems, and Azure-based intelligence. • Bridge the gap between business data and conversational output, enabling smarter responses. • Accelerate integration with Azure-native AI tools, reducing friction and increasing speed-to-market.

Requirements

• RAG Systems
• Azure Deployment
• LLM Management
• Python
• Vector Databases

Preferred Technologies

• RAG Systems
• Azure Deployment
• LLM Management
• Python
• Vector Databases

About the company

High Volt Analytics assists medium to large organizations in becoming AI ready, starting with Finance & Accounts automation. We focus on automating financial processes to deliver real-time insights and error-free reports, integrating data into a secure AI-ready foundation, offering interactive AI-powered insights, and developing enterprise AI roadmaps. Our clients include CFOs, Controllers, FP&A leaders, and CEOs who aim to move beyond manual processes and harness AI-driven competitive advantages.