Full Stack Software Engineer (AI-Enabled Healthcare Analytics) - Hybrid

At The Cigna Group, we're using data, analytics, and modern technology to make healthcare simpler, more transparent, and more affordable for more than 95 million customers worldwide. As part of our Data & Analytics (DNA) organization, you'll help build innovative solutions that provide critical Unit Cost Projection insights, enabling smarter healthcare decisions across the business. We're looking for an experienced Full Stack Software Engineer who thrives at the intersection of application development, data engineering, and AI-enabled innovation. In this role, you'll help design and deliver scalable solutions while influencing engineering standards, accelerating delivery through modern AI tooling, and mentoring fellow engineers.   Responsibilities • Design, develop, and maintain scalable full stack applications that support healthcare cost analytics and forecasting. • Build modern APIs and web applications using industry-leading technologies and engineering best practices. • Deliver high-quality, production-ready code while taking ownership of testing, deployment, monitoring, and ongoing support. • Collaborate with software engineers, data professionals, product partners, and business stakeholders to develop solutions that solve complex healthcare challenges. • Drive engineering excellence through thoughtful code reviews, technical mentorship, and continuous improvement initiatives. • Evaluate architectural options, make informed engineering trade-offs, and communicate technical decisions effectively. • Leverage AI technologies and large language model (LLM) frameworks to improve developer productivity, accelerate delivery, and enhance user experiences. • Contribute throughout the software development lifecycle, from solution design through implementation and production support. • Continuously learn emerging technologies and industry trends to help shape the future of healthcare analytics.   Required Qualifications • 10+ years of software engineering experience developing APIs using modern programming languages such as JavaScript, Python, Java, or similar technologies. • 10+ years of experience building web applications using modern frameworks, with strong experience in React preferred. • Experience developing and consuming RESTful APIs and distributed application architectures. • 2+ years of experience working within Agile delivery teams using Scrum, Kanban, or similar methodologies. • 2+ years of experience using end-to-end testing frameworks such as Cypress or Playwright. • Hands-on experience with AI and LLM technologies, including frameworks and tools such as LangChain, LangGraph, LangSmith, OpenAI, Claude, or comparable platforms. • Strong experience with relational databases, preferably PostgreSQL, and working with large-scale datasets. • Experience using Git-based source control, pull requests, and collaborative code review practices. • Strong troubleshooting, problem-solving, and analytical skills. • Ability to mentor teammates and contribute to a culture of technical excellence.   Preferred Qualifications • Experience with CI/CD tools and practices such as Jenkins, Ansible, automated testing, and continuous delivery. • Cloud platform experience, preferably AWS. • Experience with big data technologies such as Databricks, Spark, or Teradata. • Understanding of user experience principles and familiarity with design tools such as Figma. • Healthcare industry experience. • Bachelor's degree in Computer Science, Engineering, or a related field. If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload. For this position, we anticipate of