Lead Software Engineer

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Cotiviti

5001 - 10000 employees

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

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.

📋 Description

• Design and implement scalable RESTful API endpoints for the AI platform. • Build and optimize backend services in Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring. • Contribute to secure authentication and authorization systems supporting multi-tenant architecture. • Develop efficient data access layers and database schemas for AI agent operations. • Implement asynchronous task processing for long-running AI workflows. • Collaborate with IC5 engineers on backend architecture and SDK designs, contributing to technical direction while driving execution. • Provide mentorship to IC3 engineers through code reviews, technical discussions, and best practices. • Ensure quality and reliability through automated testing, CI/CD pipelines, and adherence to security standards. • Stay updated on modern backend and AI/agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph).

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • 5+ years of backend development experience, with significant experience building scalable Python applications and APIs • Proficiency with modern Python frameworks (FastAPI, Django REST Framework, Flask) • Solid experience with relational databases (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM) • Hands-on familiarity with distributed systems or microservices • Working knowledge of containerization and orchestration (Docker, Kubernetes) • Experience with Git, CI/CD workflows, and automated testing • Exposure to agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or strong interest in learning • Cloud experience (AWS, GCP, or Azure) preferred • Demonstrated ability to mentor junior engineers and influence technical decisions.

🏖️ Benefits

• Health insurance • 401(k) plan • Paid time off • Flexible work arrangements • Professional development opportunities

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