Lead GenAI Engineer

Job Title: Lead GenAI Engineer Company: Citi Job Category: Machine Learning Roles & Responsibilities: 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. 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. Applications Development \- Work Location: Pune, India Availability: Full time

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. Qualifications \& Technical Skills * 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. Please see the requirements listed above. \- Key Skills: Machine Learning, Python, TensorFlow, PyTorch, Pandas, NumPy Salary: INR 300000 - 500000 per yearly