VP Senior Applied AI Full-Stack Engineer
Core
Design and build high-performance, interactive data visualization platforms and enterprise reporting engines for investment bankers and traders, while creating custom Model Context Protocol (MCP) tools to enable AI agents to securely query enterprise data.
Role type
VP Senior Applied AI Full-Stack Engineer (Technical Leader)
Builds
Web-based analytical dashboards, backend microservices, ETL pipelines, and AI-agent data connectors
Domain
FinTech / Corporate & Investment Banking
Deliverable
production ML models
Required skills
Java/Spring Boot, Angular/React/TypeScript, Starburst (Trino), Relational/NoSQL databases, ETL pipeline design, Aspose document generation, MCP server development, AI-assisted engineering
Preferred skills
Agentic AI workflows, Event-driven systems (Kafka/RabbitMQ), 8+ years experience
Technologies
Java, Spring Boot, Angular, React, TypeScript, Starburst, Trino, Oracle, SQL Server, MongoDB, Aspose, Kafka, RabbitMQ, GitHub, Jira
Responsibilities
Architect interactive dashboards for real-time data exploration; Design and optimize low-latency backend microservices; Build scalable ETL processes for financial data; Develop custom MCP servers for AI-agent data access; Create enterprise-grade document generation engines; Mentor junior engineers and review AI-generated code
Seniority
VP, hands-on IC with mentorship