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ManipalCigna Health Insurance
Job description About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. Role Title: Software Engineering Senior Analyst Position Summary: The AI CoE team is seeking Gen AI Fullstack Software Engineers to work on the AI ecosystem. The GenAI Fullstack Engineer will be responsible for 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. This role will work directly with business partners and other IT team members to understand desired system requirements and to deliver effective solutions within the Agile methodology and participate in all phases of the development and system support life cycle. Primary responsibilities are to build an AI Platform(s) leveraging the LLM s and other Gen AI Capabilities and provide design solution for portal integrations, enhancement, and automation requests. 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. 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. Experience Required: This position requires a highly technical, hands-on, motivated and collaborative individual with exceptional communication skills, proven experience working with diverse teams of technical architects, business users and IT areas on all phases of the software development life-cycle 4+ years of total experience. 3+ years of experience in Fullstack development (Frontend, Backend and Cloud) 1+ years experience in DevOps. 1+ year in developing Gen AI Solutions and its integration with other systems. Experience Desired: ### Front-End Development Skills 1. HTML/CSS/JavaScript: Proficiency in the core technologies for building web interfaces. 2. Front-End Frameworks: Knowledge of frameworks like React, Angular, or Vue.js for creating interactive and responsive user interfaces. 3. UI/UX Design: Basic understanding of user experience and user interface design principles. ### Back-End Development Skills 1. Server-Side Languages: Proficiency in server-side languages such as Python, Node.js. 2. APIs: Experience in building and consuming RESTful, Flask / Fast API / GraphQL APIs. 3. Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc. ### DevOps and Cloud Skills 1. Containerization and Orchestration: Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications. 2. CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices. 3. Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security. 4. Cloud Services: Familiarity with cloud platforms like AWS, Google Cloud, or Azure for deploying and managing applications and AI models. ### AI and Machine Learning Skills (Good to have) 1. Foundations in Machine Learning and Deep Learning: