Python GenAI developer

Discover your future at Citi

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact.

Job Overview

As a Junior Python and GenAI Developer, you will play a crucial role in designing, developing, and deploying AI-powered applications. You will work closely with senior engineers and data scientists to build robust, scalable, and efficient systems, with a particular focus on Python-based development and integrating Generative AI models. This is an excellent opportunity for an aspiring developer to gain hands-on experience with advanced AI technologies and contribute to impactful projects.

Key Responsibilities:

• Software Development:Write clean, maintainable, and efficient code in Python for various applications and services.
• Generative AI Implementation:Assist in the integration, fine-tuning, and deployment of Generative AI models (e.g., Large Language Models, Diffusion Models) into existing or new platforms.
• Data Handling:Work with data pipelines, perform data preprocessing, and ensure data quality for AI model training and inference.
• Collaboration:Collaborate with cross-functional teams, including product managers, designers, and other engineers, to understand requirements and deliver solutions.
• Testing and Debugging:Participate in testing, debugging, and troubleshooting software and AI model issues.
• Documentation:Create and maintain technical documentation for code, models, and system architectures.
• Learning & Growth:Continuously learn and stay updated with the latest trends and advancements in Python programming, AI, and GenAI.

Qualifications:

• Experience: 3+ years experience in Python Development
• Education:Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical field.
• Programming Skills:Proficiency in Python is essential, with a good understanding of object-oriented programming principles.
• AI/ML Fundamentals:Basic understanding of machine learning concepts, algorithms, and workflows. Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Generative AI Interest:Demonstrated interest or experience (e.g., academic projects, personal projects) in Generative AI techniques and models.
• Problem-Solving:Strong analytical and problem-solving skills.
• Communication:Excellent verbal and written communication skills.
• Team Player:Ability to work effectively in a collaborative team environment.

Preferred Qualifications (Nice to Have):

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with version control systems (e.g., Git).
• Experience with RESTful APIs and microservices.
• Understanding of MLOps principles.
• Contributions to open-source projects or a strong GitHub portfolio.