Description
The AI CoE team at Evernorth Health Services India is seeking a Gen AI Fullstack Software Engineer to work on the AI ecosystem. The role involves designing, implementing, and deploying scalable and efficient AI solutions with a focus on privacy, security, and fairness.
Key components include:
- Angular and React JS based user interfaces
- A robust set of Application Programming Interfaces (APIs) enabling a wide range of platform integration capabilities
- A flexible Machine Learning (ML) document processing pipeline and integration with various Robotic Process Automation (RPA) platforms
The ideal candidate is a technologist that brings a fresh perspective and passion to solve complex functional and technical challenges in a fast-paced and team-oriented environment.
Responsibilities:
- Full stack development including triage, design, coding and implementation
- Build enterprise grade AI solutions with focus on privacy, security, fairness
- Perform code reviews with scrum teams to approve for Production deployment
- Conduct research to identify new solutions and methods to fulfill diverse and evolving business needs
- Establish/Improve/Maintain Proactive monitoring and management of supported assets assuring performance, availability, security, and capacity
- Maintains a strong and collaborative relationship with delivery partners and business stakeholders
Qualifications:
- Degree in Computer Science, Artificial Intelligence, or a related field
- Minimum of 8-11 years of experience in Workforce Management
- 9+ years of total experience
- 6+ years of experience in Fullstack development (Frontend, Backend and Cloud)
- 2+ years experience in DevOps
- 1+ year in developing Gen AI Solutions and its integration with other systems
Required Skills:
- HTML/CSS/JavaScript
- Front-End Frameworks: React, Angular
- UI/UX Design
- Server-Side Languages: Python, Node.js
- APIs: RESTful, Flask / Fast API / GraphQL APIs
- Database Management: SQL and NoSQL databases
- Containerization and Orchestration: Docker and Kubernetes / OpenShift
- CI/CD Pipelines
- Security Best Practices
- Cloud Services: AWS, Google Cloud, or Azure
- Foundations in Machine Learning and Deep Learning
- Generative Models: GANs, VAEs, Transformers
- Natural Language Processing (NLP)
- Model Deployment
- Version Control: Git
- Software Development Practices: Agile methodologies, testing, and code review practices