Principal AI Engineer

Cotiviti
Contract type
Ongoing
Work mode
Remote
Experience
Senior · 8+ years

Job description

Cotiviti is seeking an experienced AI Engineer to design, build, and maintain an agentic framework and centralized AI platform serving the organization's AI initiatives. The role creates a unified interface for teams to securely deploy, manage, and access AI agents while ensuring data integration and platform reliability.

At a glance

Work mode
Remote

What you'll do

  • Design and implement scalable agentic solutions for diverse use cases
  • Leverage a broad stack of Open Source AI technologies to build and maintain a centralized AI platform with unified APIs for cross-functional team access and build various types of agents
  • Work with Product Engineers to integrate AI agents into customer-facing applications and internal tools
  • 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
  • Optimize performance of AI-powered workloads across compute and storage layers using cloud-native and open-source solutions
  • Conduct performance analysis and capacity planning to ensure platform scalability

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 8+ years of software engineering experience, including 2+ years working on AI/ML platforms or infrastructure
  • Experience in building large-scale distributed systems and microservices
  • Strong programming skills in Python
  • Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes)
  • Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks
  • Cloud platform experience (AWS, GCP, or Azure)

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