Role
Citi's Banking Technology organization is seeking an exceptional full stack hands-on AI Engineer to lead the design, development, and deployment of cutting-edge AI solutions for the banking sector. This pivotal role involves architecting and implementing a scalable agentic AI framework, translating complex ideas into robust, production-ready systems, and driving tangible business value within Citi. The ideal candidate will be a hands-on technical leader with deep expertise in AI principles, agent-based systems, machine learning, and advanced software engineering practices.

Key Responsibilities
- Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions for critical banking use cases, ensuring high performance, reliability, and security.
- Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions.
- Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing,



and A/B experiments to achieve continuous improvement and quick "time to value."
- Design and implement rigorous metrics and evaluation strategies for AI system and agent performance, driving continuous optimization and behavioral improvement.
- Proactively explore, prototype (POC), and integrate the latest advancements in AI, particularly in agent-based systems, autonomous AI, and generative AI technologies.
- Provide hands-on technical leadership, guiding architectural decisions, and fostering collaboration with cross-functional teams including AI researchers, data scientists, product managers, and software engineers to integrate and scale AI solutions across Citi's products and services.
- Exhibit excellent communication and collaboration skills, effectively engaging with diverse stakeholders.

Qualifications
- Deep hands-on experience in engineering and executing scalable enterprise solutions.
- Expert-level proficiency in Pyt

📌 AI Lead Engineer (Pune Division)
🏢 Citi
📍 Pune Division