We are seeking a highly skilled and motivated Python/Generative AI Developer to join our growing team. The ideal candidate will be responsible for designing, developing, and deploying advanced Generative AI models and applications, including sophisticated chat interfaces. You will work on various aspects of the AI lifecycle, from research and prototyping to production deployment, contributing to solutions that drive innovation and efficiency within our organization.
Responsibilities:
- Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
- Integrate Generative AI capabilities into existing systems and develop new AI-powered applications.
- Build and maintain dynamic and responsive chat interfaces for Generative AI solutions using React, incorporating features such as HTTP streaming for real-time updates, asynchronous processing for efficient user experience, secure file upload capabilities, and advanced chat formatting.
- Conduct research and stay up-to-date with the latest advancements in Generative AI, natural language processing, and machine learning.
- Optimize and fine-tune AI models for performance, scalability, and efficiency.
- Develop robust data pipelines for training, evaluation, and deployment of AI models.
- Collaborate with data scientists, machine learning engineers, and product managers to define requirements and deliver solutions.
- Ensure the responsible and ethical deployment of AI models, adhering to best practices and regulatory guidelines.
- Write clean, maintainable, and well-documented code, adhering to software development best practices.
- Participate in code reviews, contribute to architectural discussions, and provide technical guidance.
- Troubleshoot and debug AI models and applications, identifying and resolving performance bottlenecks and issues.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 8+ years of professional experience in software development, with a strong focus on Python.
- Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Experience with Google ADK or similar Google AI/ML platforms and SDKs.
- Strong front-end development skills, particularly with React, for building interactive user interfaces.
- Demonstrable experience in implementing chat functionalities, including handling HTTP streaming, asynchronous operations, managing file uploads, and applying various chat formatting techniques.
- Solid understanding of machine learning principles, algorithms, and data structures.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing AI models.
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication and interpersonal skills.
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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.------------------------------------------------------
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Skills Required
- Bachelor's or Master's degree in Computer Science, AI, ML, or related quantitative field
- 8+ years professional software development experience with strong focus on Python
- Proven experience with Generative AI models (LLMs, GANs, VAEs, Diffusion Models)
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX
- Experience with Google ADK or similar Google AI/ML platforms and SDKs
- Strong front-end development skills with React for interactive UIs
- Experience implementing chat functionality including HTTP streaming, asynchronous operations, file uploads, and chat formatting
- Solid understanding of machine learning principles, algorithms, and data structures
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices for deploying/managing models
- Familiarity with containerization technologies such as Docker and Kubernetes
- Ability to design and maintain data pipelines for training, evaluation, and deployment
- Strong problem-solving, communication, and ability to work independently and in teams
Citi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Citi and has not been reviewed or approved by Citi.
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Healthcare Strength — Benefits coverage is positioned as comprehensive, including health, dental, and vision insurance plus on-site clinics, prescription drug support, and disability coverage. Family-building support such as fertility assistance is described as a notable differentiator within the overall package.
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Retirement Support — Retirement benefits are framed as strong, highlighted by a 401(k) with matching and additional plan options like a Roth 401(k). Financial support is reinforced through discounts and broader financial guidance resources tied to the benefits ecosystem.
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Wellbeing & Lifestyle Benefits — Wellbeing support extends beyond insurance through programs like an Employee Assistance Program, counseling/legal resources, and gym or wellness reimbursement. These offerings increase the perceived total rewards value even when cash compensation sentiment varies by role.
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