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Junior Generative AI Application Developer

https://www.citi.com/ Logo

Citi

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Location:
United States , Tampa

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

76560.00 - 106840.00 USD / Year
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Job Description:

Engineer the future of global finance. At Citi, our Tech team doesn't just support finance—we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.

Job Responsibility:

  • Thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools
  • Translating business requirements into robust code, ensuring adherence to stringent quality standards and providing essential support through testing cycles and post-production deployment
  • Utilize advanced tools for code testing and debugging, while learning from top technologists through design sessions and peer code reviews
  • Contribute to the adoption and deployment of cutting-edge Generative AI models and solutions on diverse cloud providers such as AWS, leveraging specialized AI/ML services for scalable and efficient inference
  • Adhere to and implement Citi's Minimum Development Standards and Minimum Operational Standards, with a strong focus on applying MLOps best practices, ethical AI guidelines, and responsible AI development principles, particularly for managing the lifecycle of Generative AI agents
  • Explore and apply the latest design and software architecture patterns and frameworks, including advanced Gen AI model architectures (e.g., Transformers, GANs), prompt engineering patterns, scalable inference solutions, Microservices, APIs, Spring Core/MVC/Boot/Cloud, and RESTful services. This includes designing and building agentic flows for complex business processes
  • Gain exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines, such as JIRA, Zephyr, GitHub, Harness, Artifactory, MLOps platforms, model versioning tools, AI-specific testing frameworks, and container orchestration platforms like OpenShift
  • Work with event streaming and messaging systems, including Kafka, Flink, Solace, or similar technologies, specifically for real-time data ingestion for Gen AI model training, fine-tuning, and inference
  • Gain hands-on experience with container technologies like Docker and Kubernetes for scalable and reproducible deployment of Gen AI models and related microservices

Requirements:

  • Bachelor's degree in a technology-related discipline (e.g., Computer Science, Computer Engineering, Information Technology, MIS) with a specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands-on experience
  • Authorized to work in the United States without the need for employer sponsorship, now OR in the future
  • A proactive problem-solver who thrives on innovation and embraces challenges with enthusiasm, leveraging Generative AI to address complex business problems and create novel solutions
  • Possess a global outlook and a strong willingness to collaborate effectively across diverse cultures and time zones, understanding the global implications of AI development
  • Demonstrate excellent communication skills, project management capabilities, leadership potential, keen attention to detail, and the ability to excel within diverse teams, particularly in articulating complex AI concepts
  • Capable of successfully passing technical interviews, including basic algorithmic programming exercises, with demonstrated proficiency in Generative AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), model development, prompt engineering, and understanding of AI architecture. Strong experience in AI engineering, particularly in building agentic flows and building agents on our proprietary ARC platform, is highly valued
  • Must be collaborative and adaptable, with prior experience working on agile teams being highly desirable, especially in a fast-paced environment delivering AI solutions
What we offer:
  • 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

Additional Information:

Job Posted:
May 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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