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Citi

Full Stack Developer, AI

Citi

AI Engineer developing Generative AI solutions in hybrid structure focused on rapid prototyping and complex problem-solving. Join a leading technology team at Citi to innovate for the future.

Posted 6/19/2026full-timeIrving • Florida, Texas • 🇺🇸 United StatesLead💰 $125,760 - $188,640 per yearWebsite

Tech Stack

Tools & technologies
DockerKubernetesNumpyOpenShiftPandasPythonScikit-Learn

About the role

Key responsibilities & impact
  • Design, build, and iterate on prototypes for Generative and Agentic AI applications with speed and agility, demonstrating the art of the possible
  • Implement, train, and fine-tune a variety of machine learning and deep learning models to solve complex business problems
  • Develop and maintain clean, efficient, and scalable code for AI/ML systems, with a focus on production-level quality
  • Engineer and manage sophisticated data handling and preprocessing pipelines to ensure high-quality data for training and inference
  • Utilize MLOps best practices to deploy AI applications in containerized environments like OpenShift, ensuring robust monitoring, scalability, and reliability
  • Actively monitor and research the latest trends, breakthroughs, and tools in AI/ML
  • Collaborate with senior engineers, architects, and product managers to translate business requirements into technical solutions

Requirements

What you’ll need
  • Strong and efficient programming skills in Python, including deep familiarity with AI-centric libraries (e.g., NumPy, Pandas, Scikit-learn)
  • Solid understanding and practical implementation experience with machine learning algorithms and deep learning architectures (e.g., Transformers, CNNs, RNNs)
  • Demonstrable understanding of and hands-on experience with Generative AI, Large Language Models (LLMs), and Agentic AI frameworks
  • Proven ability in handling and preprocessing large and complex datasets, including data cleaning, feature engineering, and validation
  • Working experience or strong familiarity with MLOps principles, including containerizing applications using Docker and deploying on platforms like OpenShift or Kubernetes
  • Strong analytical and problem-solving skills with the ability to tackle complex challenges independently.
  • Bachelor’s degree/University degree or equivalent experience

Benefits

Comp & perks
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

ATS Keywords

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Hard Skills & Tools
Pythonmachine learningdeep learningGenerative AILarge Language ModelsTransformersCNNsRNNsdata preprocessingfeature engineering
Soft Skills
analytical skillsproblem-solving skillscollaborationindependence
Certifications
Bachelor’s degree