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 Python (e.g., FastAPI,

📌 AI Lead Engineer (Pune)
🏢 Citi
📍 Pune