Principal Software Engineer

Overview Cotiviti is seeking an experienced Backend Developer to design and build the backend infrastructure for our centralized AI platform. This role will focus on developing robust, scalable backend services that power our agentic framework and enable teams across the company to securely deploy, manage, and access AI agents through unified APIs and user interfaces.   Responsibilities Design and implement scalable RESTful APIs endpoints for the AI platform Design and develop Python/Java SDKs that provide intuitive interfaces for teams to interact with the AI platform Build robust backend services using Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring Develop secure authentication and authorization systems supporting multi-tenant architecture Understand how agentic solution works and create efficient data access layers and database schemas that enable AI agents to interact with various internal data sources Implement asynchronous task processing systems for handling long-running AI agent operations Lead technical discussions, mentor junior engineers, and help set the technical vision for the AI platform roadmap. Ensure compliance with security, privacy, and regulatory requirements across the software development lifecycle. Provide technical guidance on backend architecture, Python development, and SDK design best practices Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 8+ years of backend development experience with 5+ years building scalable Python applications and APIs Experience in building large-scale distributed systems and microservices. Strong programming skills in Python; proficiency in Java a plus. Expert-level proficiency in Python and modern frameworks (FastAPI, Django REST Framework, Flask) Strong experience with database technologies (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM) Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. Proven experience developing and maintaining SDKs or client libraries for internal or external usage Strong experience with version control (Git), CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins), and automated testing Experience with containerization and orchestration (e.g., Docker, Kubernetes). Cloud platform experience (AWS, GCP, or Azure).