Python Backend Developer Job at Citi (Pune)

Job Description

At Citi we’re not just building technology, we’re building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world’s most global banks we’re changing how the world does business. If you think this position you see is right for you, we encourage you to apply! We are looking for a motivated and detail-oriented Python application developer with 4+ years of experience to join our development team. The ideal candidate will contribute to designing, developing and optimizing business process automation solutions and data driven solutions, leveraging cutting-edge AI technologies and modern containerization practices to build scalable and resilient applications.

Job Responsibility

Design, develop, and maintain robust and scalable backend systems, incorporating AI/ML capabilities (e.g., Retrieval-Augmented Generation, Large Language Model integration, Machine Learning Control Plane) and deploying solutions using containerization technologies
Responsible for routine operational or administrative work
Individuals will have their work thoroughly reviewed and checked by more senior incumbents and will have limited contact outside their immediate area
Daily deliverable of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed

Requirements

At least 5-8 years of experience as Python or Backend Developer
Demonstrated proficiency with key Python libraries for backend development, data processing, and AI/ML (e.g., FastAPI/Flask/Django, Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow, LangChain, LlamaIndex)
Exposure in SQL/PL-SQL, RDBMS or any other database systems implementation and query
Experience with AI development frameworks and concepts, including Retrieval-Augmented Generation (RAG), Machine Learning Control Plane (MCP), and Large Language Models (LLMs)
Proficiency in containerization technologies such as Docker and orchestration platforms like Kubernetes
Ability to think strategically and the ability to engage resources outside of their direct control to achieve objectives
Capable of writing and building components to integrate into new or existing systems
Documentation experience for complex software components
Experience in implementing product lifecycle - design, development, quality, deployment, maintenance
Ready to work within a collaborative environment with teams
Creative thinking for identifying new opportunities
Bachelor’s/Master’s degree in computer science or engineering

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