Citi Group Senior Generative AI Engineer 

Israel, Center District, Nes Ziona 

745270739

Key Responsibilities:

• Develop and implement enterprise scale cutting edge models such as visual document understanding and text2code
• Implement and Optimize vector-based retrieval systems for RAG by covering embedding models, ANN indexing, hybrid search, and re-ranking.
• Implement autonomous AI agents to implement adaptive, error resistant data extraction, and content validation tasks.
• Develop and deploy enterprise software applications using state of the art practices, such as micro services, , modular code , as well as proficiency in writing unit and integration tests to ensure the accuracy and reliability of the AI applications.
• Ensure data privacy and security in all AI-driven processes, adhering to OWASP guidelines and citi’s stringent authentication and authorization policies.
• Collaborate with cross-functional teams to integrate AI solutions into existing workflows.
• Document the development process and create comprehensive technical specifications.
• Manage and maintain AI applications, ensuring best practices in model management and versioning.
• Deploy resulting AI applications using industrial strength framework and processes, including Kubernetes and OpenShift for scalable and efficient operations on-premises.
• Ability to research and develop and utilize transformer-based models for enhanced application performance.

Required Skills and Qualifications:

• Hands-on experience with transformer-based models and their applications.
• Strong understanding of LLM, LLM model selection, benchmarking, and optimization.
• Experience with RAG systems and vector databases.
• Proficiency in developing and deploying AI agents.
• Knowledge of open-source models and methods, including benchmarks for evaluating AI performance.
• Knowledge of security risks and mitigation strategies for autonomous AI agents, including OWASP guidelines.
• Proficiency in Python and experience with libraries such as Pandas, Tabula, and TensorFlow/PyTorch.
• Strong problem-solving skills and attention to detail.
• Excellent communication and documentation skills.

Preferred Qualifications:

• Familiarity with regulatory requirements and compliance in AI applications.
• Experience with financial data analysis and extraction.
• Experience with unit testing and integration testing frameworks.
• Experience with Kubernetes and OpenShift for deploying AI applications on-premises.

Please submit your resume detailing your experience and qualifications for this role. Include links to any relevant projects or GitHub repositories.

Time Type:

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