The Gen AI-ML Engineer role at Citi is an intermediate level position focused on developing and implementing GenAI solutions for financial applications. The team is dedicated to enhancing client experiences through innovative technology while ensuring secure and efficient services. Candidates will work closely with engineering teams to deploy GenAI models and stay updated on advancements in the field. This role emphasizes collaboration, problem-solving, and a commitment to diversity within the workplace.

• 5 years or more of experience in AI/ML development with a proven track record of building and deploying GenAI applications.
• Deep understanding of GenAI models and architectures, including transformers and LLMs.
• Extensive experience with prompt engineering and fine-tuning LLMs.
• Expert-level Python programming skills and proficiency with relevant libraries.
• Experience with vector databases and implementing RAG pipelines.
• Strong software engineering skills, including containerization and cloud infrastructure management.
• Strong analytical, problem-solving, and communication skills.
• Experience with MLOps principles and tools.

• Design, develop, and implement GenAI solutions for various financial applications.
• Explore and experiment with advanced GenAI concepts like Agentic AI.
• Design and implement intelligent chatbots.
• Process and analyze large datasets of structured and unstructured financial data.
• Architect and implement efficient RAG pipelines using tools like LlamaIndex and LangChain.
• Develop and refine advanced prompting strategies for LLMs.
• Test, evaluate, and analyze the performance of LLM and other GenAI models.
• Collaborate closely with engineering teams to deploy and maintain GenAI models in production environments.
• Communicate effectively with business stakeholders.
• Stay up-to-date with the latest advancements in GenAI research and development.

• Citi offers a comprehensive benefits package including competitive pay, stock programs, healthcare coverage, retirement plans, paid time off, parental leave, and programs supporting employee wellbeing and professional development.