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The Citi Innovation Lab 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 centers, and our mission is to create competitive advantage for our clients by providing innovative technological solutions.
Job Responsibility:
Design and implement Gen AI platform components using Python and modern microservices
Drive engineering and operational excellence and best practices
Collaborate with tech, product, program and business peers to deliver customer value and drive product vision
Drive the end-to-end development of AI systems from research and experimentation to deployment and scaling
Mentor and support engineers
Analyze complex problems, identify and define the requirements to solve them
Apply DevOps principles to maintain high-performance and scalable AI systems
Design and implement secure APIs
Stay updated on the latest Gen AI trends and technologies
Requirements:
Academic degree in Computer Science or equivalent
Extensive experience contributing to the architecture and design of new and current systems
Proficiency in Python libraries and modules
Experience with Kubernetes-based continuous delivery utilizing Jenkins, Tekton, and Docker
Strong understanding of Generative AI principles including Large Language Models (LLMs), RAG techniques, Fine tuning, inference
Experienced with Gen AI related python libraries and modules
Excellent problem-solving and analytical skills
Proficiency in Git for version control and collaboration in development workflows
Experience in Java/GO
Expertise with Oracle and vector databases (e.g., PostgreSQL) for data storage and retrieval
Excellent interpersonal skills, team player with strong communications skills
Nice to have:
Experience in Java/GO
Expertise with Oracle and vector databases (e.g., PostgreSQL) for data storage and retrieval
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