Key skills
PythonAILangChainAgenticAutoGenLangGraphFastAPIDjangoFlaskAWSAzureGCPKubernetesDockerPostgreSQLMySQLRESTfulGitCI/CDLeadership
About this role
Cotiviti is seeking a Lead Software Engineer to design and deliver core backend services for their centralized AI platform. This role involves hands-on engineering and technical leadership, guiding mid-level engineers while building scalable and reliable services that support AI agent management.
Responsibilities:
- 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
- Demonstrated ability to mentor junior engineers and influence technical decisions
- Cloud experience (AWS, GCP, or Azure) preferred