Senior Generative AI Engineer

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. Working closely with our clients and business partners to progress solutions from ideation to production by leveraging the entrepreneurial spirit and technological excellence fostered in the Innovation Labs.

About the Role:

We are seeking a highly skilled Senior Generative AI Developer to join our team. The ideal candidate will have a deep understanding of the GenAI eco system, including large language models (LLMs), agent frameworks, graphs and retrieval-augmented generation (RAG. You will be responsible for developing, architecting and optimizing cutting edge enterprise scale, GenAI-driven automation and optimization solutions of critical finance focused business processes, including text understanding, information extraction, and content validation.

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.

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

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