Python GenAI developer

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.

------------------------------------------------------

Job Family Group:

Technology

------------------------------------------------------

Job Family:

Applications Development

------------------------------------------------------

Time Type:

Full time

------------------------------------------------------

Most Relevant Skills

Please see the requirements listed above.

------------------------------------------------------

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

------------------------------------------------------

Citi is an equal opportunity employer, and 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.

 

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.