Job description

🧠 About the Role

We're looking for an experienced AI Engineer to join a forward-thinking team in the financial services sector, focused on delivering large-scale, cloud-native AI solutions. This role is ideal for someone with deep technical expertise in AI model deployment, prompt engineering, and Azure-based AI services.

You’ll work at the intersection of AI innovation and enterprise application development, helping to build intelligent systems that scale across a global organization.

✅ Key Responsibilities

• Design and develop cloud-integrated AI applications using Python and other modern tools

• Implement advanced AI architectures like RAG, Agentic RAG, MCP, A2A, and Functional Calling

• Deploy and optimize models using Azure OpenAI, Azure AI Search, and other Azure AI services

• Utilize frameworks such as Spring AI, LangChain, LangGraph, LlamaIndex, Pydantic, and TensorFlow

• Apply prompt engineering, context handling, and embedding/chunking strategies to enhance model accuracy

• Integrate vector databases and enable real-time data-driven AI functionality

• Continuously evaluate model outputs and apply optimizations for performance and relevance

🛠️ Requirements

• Proven experience in Python and backend AI application development

• Strong understanding of AI/ML frameworks and cloud-native deployment strategies

• Experience working in Azure environments, especially with Azure OpenAI and AI Search

• Familiarity with retrieval-augmented generation (RAG) patterns and agent-based AI design

• Solid understanding of prompt engineering and real-time data integration techniques

• Background in evaluating model output and performance tuning

This is a high-impact opportunity to work with a global financial services company on some of the most advanced AI solutions being deployed today. Join a team where innovation meets scale and help shape the future of intelligent enterprise systems.