Junior Generative AI Application Developer

Citi • Irving, TX

2d • Hybrid

About The Position

Engineer the future of global finance at Citi, where the Tech team is redefining the industry. With $5 trillion crossing through our network daily and operations in over 180 countries, we operate at a scale few can match. We build systems that matter, from deploying advanced AI to shaping global markets. Join a team where your work influences economies, your ideas drive innovation, and your growth is supported by mentorship, continuous learning, and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and build the future of finance with Citi Tech. We provide the knowledge and skills needed to succeed and are committed to teaching you the ropes in a supportive environment for individuals starting their careers. Internal development paths are designed to help you build a broad skillset and accelerate career growth by gaining exposure to multiple teams in Software Development. Our supportive environment will help you discover the best fit for your skills and long-term career goals at Citi.

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.

Nice To Haves

• Specialization or strong coursework in Artificial Intelligence, Machine Learning, Data Science, or equivalent hands-on experience.
• Prior experience working on agile teams being highly desirable, especially in a fast-paced environment delivering AI solutions.
• A steadfast dedication to continuous learning in Generative AI and a genuine passion for applying AI in business are paramount.
• Bring a global perspective to the future of banking and are eager to make an impact at the corporate level using AI.
• Aspire to grow into a future Gen AI leader, combining a passion for AI with its strategic application within the global financial industry.

Responsibilities

• Thrive in an agile software development environment, crafting high-quality, scalable software solutions leveraging cutting-edge technologies, including AI-powered coding tools.
• Translate business requirements into robust code, ensuring adherence to stringent quality standards.
• Provide essential support through testing cycles and post-production deployment.
• Deliver enterprise-level systems that are high quality, scalable, and resilient.
• Skillfully utilize advanced tools for code testing and debugging.
• Learn from top technologists through design sessions and peer code reviews.
• Join a cohort of new hires embarking on a shared journey to master company culture, tools, processes, and technical proficiencies.
• Gain exposure to a wide range of technologies and tools across all aspects of the SDLC.
• 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.
• Apply advanced AI engineering practices to optimize model performance and reliability.
• 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.
• Design and build agentic flows for complex business processes.
• Gain exposure to various software development tools within Continuous Integration/Continuous Delivery pipelines.
• 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.
• Work on globally scoped Generative AI projects with cross-functional teams.
• Benefit from structured learning paths, extensive networking opportunities, mentorship, and development designed to sharpen technical prowess in Generative AI, enhance business acumen, and cultivate leadership skills.
• Contribute to real-world projects that shape the future of banking, from developing cutting-edge Generative AI solutions and intelligent automation to strengthening cybersecurity defenses and driving data-powered innovations.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level