Hybrid AI Engineer

at Citi

• Job title: AI Engineer
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: AWS, Azure, Cloud, Docker, Flask, Google Cloud Platform, Kubernetes, Python, PyTorch, Tensorflow
• Location requirements: Hybrid, Bangalore, India

About the role

• AI Engineer developing and deploying Generative AI applications at Citi. Engage in full-stack development and collaborate with teams to deliver AI solutions.

Responsibilities

• Develop and deploy production-grade Generative AI applications, with a strong focus on building highly effective prompts, semantic search solutions, and robust RAG/Agentic pipelines.
• Engage in full-stack development, contributing to both the front-end and back-end of AI-powered applications.
• Implement and maintain MLOps pipelines for continuous integration, delivery, and monitoring of AI models.
• Contribute to the end-to-end ML model development lifecycle, including data understanding, feature engineering, algorithm selection, and validation.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Write clean, scalable, and well-documented code, adhering to software development best practices.
• Assist in evaluating and integrating new AI technologies and frameworks to enhance existing solutions.

Requirements

• 2-4 years of overall experience with a minimum of 1.5 years of experience in developing production-grade Gen AI based RAG solutions or Agent-based solutions.
• Proven experience as a full-stack developer, with hands-on experience in building and deploying production-ready applications.
• Strong understanding of the Gen AI development process, including prompt engineering, semantic search, and RAG/Agentic pipeline development.
• Proficiency in Python and experience with relevant frameworks (e.g., Flask, FastAPI, LangChain, Hugging Face).
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow, Sagemaker).
• Strong problem-solving skills and the ability to work independently on assigned tasks.

Benefits

• Citi is an equal opportunity employer
• 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.
• Review Accessibility at Citi
• View Citi’s EEO Policy Statement and the Know Your Rights poster.