Sr. Application Systems Developer (Python)

$120,000 - $135,000/Yr

The Trustees Of Columbia University In The City Of New York - New York, NY

Full-time - Mid Level

New York, NY

Ambulatory Health Care Services

About the position

The Sr. Application Systems Developer is responsible for designing, developing, and implementing AI-driven web applications using Python and modern web technologies. This role focuses on integrating AI models into scalable, user-friendly web platforms that support academic and research services, ensuring seamless user experiences and high-performance applications.

Responsibilities

• Architects, designs, and develops web applications that integrate AI models, focusing on Python-based development and modern web frameworks (e.g., Django, Node.js, Flask, Angular).
• Collaborates with cross-functional teams to gather requirements and translate AI-driven solutions into user-friendly, scalable web applications.
• Develops and maintains APIs for AI models and ensures their integration into web platforms, enabling dynamic and real-time AI functionalities.
• Leads the full-stack development process, including both front-end and back-end implementation, ensuring a seamless user experience while leveraging AI technologies.
• Optimizes AI-driven web applications for performance, ensuring high availability, scalability, and responsiveness.
• Works closely with UX/UI designers to create intuitive interfaces that enable users to interact with AI features effectively.
• Manages cloud-based deployment of AI web applications using Docker, Kubernetes, and relevant DevOps practices.
• Coordinates with data engineers to ensure AI models are well-integrated with backend data pipelines and services.
• Provides leadership in adopting new AI and web technologies, libraries, and frameworks that improve the platform's capabilities.
• Conducts code reviews, mentors junior developers, and ensures best practices in AI and web development are followed.
• Stays updated on the latest trends in AI, web technologies and cloud-based development to ensure the platform remains cutting-edge.

Requirements

• Bachelor's degree and/or its equivalent required.
• Minimum 4-6 years' related experience.
• Minimum 4+ years of experience in web application and/or AI-driven application development, with strong proficiency in Python.
• Experience with full-stack development, including web frameworks such as Django/Node.js or Flask on the backend, and Angular, or a similar front-end framework on the frontend.
• Strong knowledge of microservice architectures, RESTful APIs, and asynchronous web development.
• Solid experience in integrating LLM APIs into web applications and deploying them in production environments.
• Familiarity with cloud platforms like Google Cloud Platform (GCP) or AWS, with experience in deploying AI and web applications.
• Experience using Docker and Kubernetes for deploying scalable AI web applications.
• Proficient in version control (Git), continuous integration (Jenkins), and agile project management tools (Jira).
• Excellent written and verbal communication skills.
• Demonstrated ability to work in a fast-paced, deadline driven environment.
• Demonstrated excellence in a variety of competencies including teamwork/collaboration, analytical thinking, communication and influencing skills, and technical expertise.
• Ability to work with changing priorities and with multiple projects.
• Ability to be precise and attentive to detail is essential.
• Ability to work with minimal supervision.

Nice-to-haves

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field. Advanced degree preferred.
• Expertise in front-end technologies, creating responsive web interfaces that integrate AI features.
• Hands-on experience in natural language processing (NLP), computer vision, or other AI domains and deploying them in web environments.
• Familiarity with DevOps practices and managing the lifecycle of AI models in production.
• Strong leadership skills with a focus on collaboration, communication, and technical mentorship.

Benefits

• Health insurance coverage
• Paid holidays
• Flexible scheduling
• Professional development opportunities
• Tuition reimbursement