Senior Software Engineer II

The AI Full Stack Developer will be responsible for designing, developing, and deploying scalable AI-powered applications using Python, NodeJS for backend services and React.js for frontend interfaces. This role involves building robust APIs, integrating AI/ML models into production environments, developing responsive user interfaces, optimizing application performance, and deploying solutions on cloud platforms such as GCP, or Azure. The ideal candidate will work closely with cross-functional teams, including data scientists, AI engineers, and stakeholders, to deliver innovative solutions that align with business objectives and improve healthcare operations.

Primary Responsibility:

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment).
• The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

• Bachelor's or Master's in Computer Science, Software Engineering, or related fields
• 5+ years in software development, with hands-on experience in full-stack development with a focus on AI-powered applications
• Experience building AI solutions using frameworks such as Semantic Kernel, Langchain
• Experience integrating AI/ML models into production environments (e.g., TensorFlow, PyTorch)
• Experience with version control systems (e.g., Git) and CI/CD practices
• Solid experience with React.js for building responsive and dynamic user interfaces
• Knowledge of database technologies (SQL and NoSQL) and experience with data storage solutions
• Solid understanding of RESTful APIs and microservices architecture
• Familiarity with cloud platforms such as Google Cloud Platform (GCP) or Microsoft Azure
• Proficiency in Python and Node.js for backend development
• Proven ability to design, develop, and deploy AI-powered solutions using no-code, low-code, and advance platforms. Collaborate cross-functionally to identify opportunities for AI integration, translating business needs into scalable applications that enhance workflows and decision-making
• Proven solid problem-solving skills and the ability to work collaboratively in cross-functional teams