Jobs
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.
Software Engineering Lead Analyst:
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) and document processing pipeline. 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.
Job 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.
Required Experience / Qualifications:
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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
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10+ years of total experience.
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7+ years of experience in Fullstack development (Frontend, Backend and Cloud)
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3+ years experience in DevOps.
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2+ year in developing Gen AI Solutions and its integration with other systems.
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Detailed list of Skillset required –
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Front-End Development Skills
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- HTML/CSS/JavaScript: Proficiency in the core technologies for building web interfaces.
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- Front-End Frameworks: React
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- UI/UX Design: Basic understanding of user experience and user interface design principles.
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Back-End Development Skills
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- Server-Side Languages: Proficiency in server-side languages such as Python, Node.js.
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- APIs: Experience in building and consuming RESTful, Flask / Fast API / and GraphQL APIs.
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- Database Management: Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc.
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Dev
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Ops and Cloud Skills:
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- Containerization and Orchestration: Experience with Docker and Kubernetes / Open Shift for containerization and orchestration of applications.
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- CI/CD Pipelines: Knowledge of continuous integration and continuous deployment tools and practices using GitHub Actions
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- Security Best Practices: understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security.
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- Cloud Services: Familiarity with cloud platforms like AWS for deploying and managing applications and AI models.
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AI and Machine Learning Skills
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- Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like Tensor Flow, Py Torch, and Keras.
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- Generative Models: Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers.
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- Natural Language Processing (NLP): Knowledge in NLP techniques and libraries (e.g., spa Cy, NLTK, Hugging Face Transformers) for text generation tasks.
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- Model Deployment: Experience with deploying models using services like Tensor Flow Serving, Torch Serve, or cloud-based solutions (e.g., AWS Sage Maker, Google AI Platform).
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- Understanding of implementing Prompt Engineering, Finetuning and RAG.
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Additional Skills
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- Version Control: Proficiency with Git and version control workflows.
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- Software Development Practices: Understanding of agile methodologies, testing, and code review practices.
Education and Training Required:
Degree in Computer Science, Artificial Intelligence, or a related field.
Location & Hours of Work:
Full-time position, working 45 hours per week. Expected overlap with US hours as appropriate.
Primarily based in the Innovation Hub in Hyderabad, India, with flexibility to work remotely as required.
Equal Opportunity Statement:
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
About Evernorth Health Services:
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit 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. Join us in driving growth and improving lives.
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About Cigna

Cigna
PublicThe Cigna Group is an American multinational for-profit managed healthcare and insurance company based in Bloomfield, Connecticut.
10,001+
Employees
Bloomfield
Headquarters
Reviews
3.0
9 reviews
Work Life Balance
3.8
Compensation
2.5
Culture
2.8
Career
2.2
Management
2.0
35%
Recommend to a Friend
Pros
Remote work flexibility and work from home options
Good work-life balance
Great people and teamwork
Cons
Poor management and micro-controlling leadership
Frequent layoffs and job instability
Limited career advancement opportunities
Salary Ranges
18 data points
L2
L3
L4
L5
L6
L2 · Financial Analyst L2
0 reports
$74,750
total / year
Base
$29,900
Stock
$37,375
Bonus
$7,475
$52,325
$97,175
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 50%
Neutral 0%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Team Member Interviews
5
Panel/Multiple Interviews
6
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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