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At Citi Innovation Labs, we’re building a variety of generative AI applications through greenfield development projects. The Citi Innovation Labs is a leader in creating new ideas, innovative technology solutions, and ground-breaking innovations for Citi's global banking business. We're part of a global network of innovation centres, and our mission is to create competitive advantage for our partners by providing innovative technological solutions. We work closely with our partners taking projects from ideation to production by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs.
Job Responsibility:
Lead and Design Robust Systems: Take ownership of architecture and design of applications, services and libraries, ensuring scalability, resilience, and performance at an Enterprise level
Set Technical Direction: Guide technical standards, best practices, and architectural frameworks to shape the development of generative AI solutions across teams
Mentor and Grow: Provide mentorship and coaching to less experienced developers, helping to build a high-performance team
Write Excellent Code: We care deeply about the craft of code—whether it’s enhancing user experience, optimizing performance, or enhancing an API design
Collaborate Globally: Work closely with global teammates to form a high-performing software development team
Drive Innovation: Identify and experiment with emerging technologies, driving the application of AI to solve challenging business problems
Engage with Stakeholders: Collaborate with data scientists, product owners, and project stakeholders to ensure effective delivery
Requirements:
Proven Track Record: Demonstrated success in designing and deploying high-impact applications
Experience of leading development efforts from inception to production
Strategic and Analytical Mindset: Ability to approach challenges from a holistic perspective, balancing technical requirements with business goals
Architecture and Design Expertise: Extensive experience in system design, architectural principles, and microservices architecture
Ability to design fault tolerant, high-availability systems
Expertise with LLMs: Hands-on experience with Large Language Models and a strong interest in AI
Multi-Language Mastery: Extensive experience in at least two server-side languages (Python, Kotlin, Java, or Go) and the ability to switch languages use the best tool for the job
Inquisitive Mindset: Eager to learn, experiment, and stay updated with emerging technologies
Cloud Native & Kubernetes: Proven experience in developing and deploying microservice architecture applications using cloud-native tools, such as Kubernetes
Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience
Experience: 7+ years of professional experience in software development
Leadership or managerial experience is advantageous
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