We're seeking an exceptional Golang Software Engineering Lead - GenAI platforms to drive the backend technical vision and full-stack execution of our enterprise GenAI platform serving 180,000+ Citi employees globally. This is a senior technical leadership role for someone who wants to architect scalable, high-performance AI systems at the intersection of modern cloud-native development and cutting-edge AI—combining hands-on engineering excellence with strategic technical leadership.
You'll work with cutting-edge AI infrastructure including Claude, Gemini, and proprietary Citi models running on OpenShift/Kubernetes, building the next generation of AI-powered backend services and microservices that transform how employees interact with enterprise AI systems.
About Our Team
Our team operates like a research-driven startup within Citi, rapidly innovating on AI user experiences while maintaining enterprise-grade reliability, security, and compliance. We build and operate Citi Stylus Workspaces and other mission-critical GenAI platforms that demand exceptional scalability, performance, and reliability at global scale.
Our platforms integrate cutting-edge AI models to provide secure, compliant, and powerful AI capabilities across the organization. Our microservices architecture is built with Go and React, deployed on OpenShift/Kubernetes, and incorporates sophisticated document understanding, agentic capabilities, and integration with numerous internal systems.
What You'll Do
Architecture & Development
- Design, develop, and maintain core components of our production GenAI platform
- Architect new systems and services that scale to enterprise requirements (180,000+ users)
- Implement complex features across the entire stack, from backend services to frontend interfaces
- Design and implement scalable microservices architecture for complex GenAI applications
- Build sophisticated document processing and transformation pipelines
- Optimize system performance, particularly for AI-related operations and high-throughput scenarios
- Collaborate with AI researchers to implement state-of-the-art techniques
- Develop real-time streaming architectures for AI responses using WebSockets and Server-Sent Events
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