The Vice President (C13) - GenAI Sr Enginner. Citi's Banking Technology organization is seeking a talented and hands-on **Senior AI Engineer** to contribute to the design, development, and deployment of cutting-edge Generative AI and Agentic AI solutions for the banking sector. In this role, you will be responsible for implementing robust, scalable agentic AI workflows, integrating state-of-the-art LLMs, and building resilient full-stack applications that translate business requirements into production-grade systems. The ideal candidate is an experienced, hands-on software engineer with strong technical depth in AI/ML principles, multi-agent frameworks, API design, and modern software engineering practices. **Key Responsibilities** + **Hands-on AI & Agent Development:** Design, implement, test, and deploy scalable generative AI applications and agentic workflows for critical banking use cases, ensuring high performance, security, and reliability. + **Full-Stack Implementation:** Build end-to-end applications integrating front-end interfaces, backend services, and state-of-the-art LLM tools, APIs, and Model Context Protocol (MCP) integrations. + **Rapid Prototyping & MVP Delivery:** Champion an agile, MVP-first mindset to rapidly develop Proof of Concepts (POCs), run A/B experiments, iterate based on feedback, and accelerate time-to-value. + **Evaluation & Observability:** Implement evaluation metrics, guardrails, automated testing, and telemetry to benchmark agent behavior, response accuracy, and operational performance. + **Collaboration & Engineering Standards:** Collaborate closely with Lead Engineers, Data Scientists, Product Managers, and cross-functional teams; uphold best practices in code quality, automated testing, CI/CD, and peer reviews. + **Continuous Learning & Innovation:** Stay abreast of rapid advancements in LLMs, multi-agent orchestration frameworks, prompt engineering, and autonomous systems, applying relevant patterns to banking solutions.



**Qualifications & Technical Skills** **AI & Agentic Capabilities** + **LLMs & Prompt Engineering:** Solid working knowledge of enterprise LLMs (e.g., OpenAI/ChatGPT, Claude, Gemini, Llama) and prompt engineering techniques (chain-of-thought, few-shot prompting, RAG). Must have in depth technical and hands on experience on RAG and Text2SQL usecases, Agentic Platform development, LLM parameter tuning and performance optimizations. + **Agentic Frameworks:** Hands-on experience with multi-agent orchestration frameworks (e.g., LangGraph, LangChain, AutoGen, CrewAI, or N8N). + **MCP & Tool Integration:** Practical experience implementing and integrating Model Context Protocol (MCP) or custom tool-calling interfaces into agentic systems. + **Machine Learning Foundations:** Working knowledge of ML frameworks/libraries (e.g., PyTorch, TensorFlow, Scikit-Learn, Pandas, NumPy). **Architectue:** + **Backend Proficiency:** Strong hands-on proficiency in **Python** (e.g., FastAPI, Flask, Django) + **Databases & Data Storage:** Experience working with relational and NoSQL databases (e.g., PostgreSQL, Oracle, MongoDB) as well as vector databases. + **API & Architecture:** Solid understanding of RESTful/gRPC API design, microservices, event-driven architectures, and distributed systems. + **DevOps & Cloud Native:** Hands-on experience with containerization and orchestration tools (Docker, Kubernetes) and CI/CD pipelines (Git, GitLab/Jenkins). **Soft Skills & Industry Background** + Strong analytical and problem-solving skills with a pragmatic approach to technical challenges. + Good communication and collaboration skills with experience operating in agile engineering teams. + Experience in banking, financial services, or other highly regulated enterprise environments is a plus.



**Experience & Education** + **Education:** Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related technical field (or equivalent practical experience). + **Software Engineering Experience:** 7+ years of progressive software development experience with strong hands-on coding and delivery in production environments. + **AI/ML Specialization:** 2+ years of dedicated experience developing and deploying AI/ML, Generative AI, LLM-powered applications, or agentic workflows. + Proven track record of delivering resilient, high-quality features in an enterprise or production setting. ------------------------------------------------------ **Job Family Group:** Technology ------------------------------------------------------ **Job Family:** Applications Development ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Most Relevant Skills** Please see the requirements listed above. ------------------------------------------------------ **Other Relevant Skills** Java (Programming Language). ------------------------------------------------------ _Citi is an equal prospect employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi (https://www.citigroup.com/citi/accessibility/application-accessibility.htm)_ _._ _View Citi's_ _EEO Policy Statement (https://www.citigroup.com/global/eeo-aa-policy)_ _and the_ _Know Your Rights (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)_ _poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

📌 Lead GenAI Engineer (Pune)
🏢 Citigroup
📍 Pune