Lead Generative AI Engineer - Python and LangChain

Citibank (Switzerland) AG; Bengaluru; Hybrid; Confidential; Full time

Job summary

Citibank (Switzerland) AG in Bengaluru is seeking a Lead Generative AI Engineer to architect and drive development of Gen AI capabilities for Retail Bank. You will lead analytical initiatives, design scalable agent-based solutions, and collaborate with stakeholders to deliver production-grade AI systems.

Ideal candidates have 4–7 years of Gen AI experience, mastery of Python, LangChain, PyTorch/TensorFlow, and cloud-native architecture with a focus on compliance and performance.

Qualifications

• 4–7 years of experience in production-ready Gen AI, RAG or agent-based solutions.
• Strong Python, AI/ML, LangChain and cloud-native tech background.
• Experience with agent training, performance measurement and feedback loops.

Responsibilities

• Lead analytics for Retail Bank using Generative AI to boost productivity.
• Architect and lead production-grade Gen AI apps and agent-based solutions.
• Evaluate agentic architectures and select optimal approaches.
• Design agent training, performance measurement and feedback loops.
• Ensure compliance, security, and performance standards.
• Collaborate with stakeholders and mentor data scientists.

Skills

Python

LangChain

AI/ML frameworks

MLOps

Kubernetes

Agentic design

Reinforcement learning feedback loops

Education

Bachelor's degree in CS/related field

Master's degree preferred

Tools

PyTorch

TensorFlow

LangChain

Kubernetes

Job description

## Lead Generative AI Engineer - Python and LangChainApply: Hybrid: Bangalore Karnataka India: Full time: Posted Today: 26987781This is a role responsible for architecting, designing, and leading the development of innovative and scalable solutions for Retail Bank business with a close focus on generative AI capability based solutions. The overall objective is to leverage technical expertise and skills to drive the execution of key AI initiatives.**Responsibilities:*** Lead analytics to deepen core areas for Retail Bank business through different analytical solutions with a focus on leveraging Generative AI capabilities to enhance productivity and build highly customized solutions.* Architect, design, and lead the development of production-grade Generative AI applications and complex Agentic solutions.* Evaluate different agentic architectures and evolving industry practices to select the optimal approach for business problems.* Design and implement agent training, performance measurement, correction, and feedback processes, and create/articulate new architectural options.* Ensure solutions meet stringent compliance, security, and performance management standards.* Collaborate with and advise business stakeholders on the scope and capabilities of Generative AI solutions.* Mentor other data scientists in the team, training them in advanced Agentic solution development and software engineering best practices.**Qualifications:*** 4-7 years of overall experience with preferred experience in architecting and developing production-ready Gen AI RAG or Agent-based solutions.* Mastery of Python, AI/ML frameworks (PyTorch, TensorFlow, LangChain), MLOps, and cloud-native architectures (Kubernetes).* Expert-level understanding of Agentic solution design, including architecture selection, memory management, hallucination control, and reinforcement learning feedback loops.* Strong experience in architecting and designing highly scalable, available, and performant technology solutions.* Deep expertise in Agent training, performance measurement, and feedback processes.* In-depth knowledge of compliance, security, and performance management in a production environment.**Education:*** Bachelor's/University degree and relevant experience; Master's degree preferred in Computer Science, AI, Engineering, or a related quantitative field.