Senior AI/ML Engineer with BI Expertise

Description

Summary: Seeking a Senior AI/ML Engineer with strong Business Intelligence expertise to develop production-grade AI systems and support data analytics and visualization initiatives. Highlights: 1. Develop production-grade AI/ML services and enterprise AI applications 2. Build and support multi-agent AI systems and RAG/GraphRAG solutions 3. Design and maintain Power BI/Tableau dashboards and automate BI workflows Client: Our client is one of the world’s largest active fixed income asset managers, focused on delivering investment solutions and data\-driven innovation across global financial markets. * Project overview: We are looking for a Senior AI/ML Engineer with strong Business Intelligence expertise to join a growing AI engineering team. In this role, you will contribute to the development of production\-grade AI systems while also supporting data analytics and visualization initiatives across enterprise platforms. * You will work on modern AI solutions, including multi\-agent architectures, RAG\-based applications, cloud\-native deployments, and scalable BI environments. The position combines hands\-on AI engineering with deep involvement in reporting, analytics automation, and performance optimization. * Responsibilities: Design, develop, and maintain production\-grade AI/ML services and enterprise AI applications * Build and support multi\-agent AI systems using modern orchestration frameworks * Develop RAG and GraphRAG solutions for enterprise knowledge management and search * Deploy and integrate AI services using AWS technologies, including Bedrock, Lambda, ECS, and S3 * Design and optimize RESTful APIs and backend services using FastAPI and Python * Work with vector databases and knowledge graph technologies * Implement automated testing strategies, including integration and load testing * Monitor AI model performance, evaluation metrics, and token consumption optimization * Develop and maintain Power BI and Tableau dashboards, reports, and administrative processes * Automate BI workflows and reporting pipelines using Python * Optimize performance across BI platforms, SQL queries, and relational databases * Collaborate with cross\-functional teams, including data engineers, analysts, architects, and stakeholders * 3\+ years of experience in Python backend development focused on AI/ML services * Experience building multi\-agent AI systems; knowledge of LlamaIndex is preferred * Hands\-on experience with RAG and GraphRAG architectures for enterprise applications * Strong experience with AWS services, including Bedrock, Lambda, ECS, and S3 * Experience working with vector databases and knowledge graph technologies such as OpenSearch and Neptune Analytics * Solid understanding of FastAPI and RESTful API design * Experience with testing frameworks and tools, including pytest, TestContainers, and Locust * Familiarity with AI evaluation frameworks and token cost optimization approaches * 5\+ years of experience with Power BI development, optimization, and administration * 3\+ years of experience with Tableau development and administration * 5\+ years of SQL experience, including Snowflake or Microsoft Fabric environments * Experience automating BI workflows using Python, Pandas, and API\-driven pipelines * Strong understanding of performance tuning across BI platforms and relational databases * Nice to have: Experience in financial services or capital markets * Knowledge of MCP server development (FastMCP) * Familiarity with A2A protocol and AI traceability concepts * Experience with async Python and microservices/API gateway patterns * Exposure to multi\-modal AI models * Degree in Computer Science, Finance, Statistics, or a related field