🧠 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.
Net per month - B2B
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