
Healthcare Insurance • Fintech • Artificial Intelligence
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
October 4

Healthcare Insurance • Fintech • Artificial Intelligence
Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.
• Implement and maintain components of agentic AI framework under the guidance of senior engineers • Leverage open-source AI frameworks (e.g., LangChain, CrewAI, AutoGen) to build and experiment with agents for diverse use cases • Incorporate selected open-source solution into our agentic AI framework • Collaborate with product engineers to integrate AI agents into customer-facing applications and internal tools • Write clean, maintainable Python code for AI workflows, APIs, and data integration tasks • Assist in testing, debugging, and improving performance of AI-powered workloads • Contribute to documentation and knowledge sharing across the team
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience) • 2–4 years of software engineering experience, with exposure to AI/ML concepts or platforms • Solid programming skills in Python; familiarity with frameworks like FastAPI or Flask a plus • Hands-on experience with at least one agentic AI framework (e.g., LangChain, LangGraph, CrewAI, AutoGen) through projects, internships, or work experience • Familiarity with containerization (Docker) and cloud environments (AWS, GCP, or Azure) • Exposure to orchestration frameworks (Kubernetes) • Familiarity with modern LLM APIs (OpenAI, Anthropic, etc.)
• Flexible work arrangements
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