Cotiviti

Catches billing errors for health insurers

Principal AI Engineer

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

A bachelor's or master's degree in Computer Science, Engineering, or a related field is required.
At least 8 years of software engineering experience, including at least 2 years working on AI/ML platforms or infrastructure, is required.
Experience building large-scale distributed systems and microservices is required.
Strong programming skills in Python are required.
Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar is required.
Experience with containerization and orchestration tools such as Docker and Kubernetes is required.
Understanding of MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks is required.
Experience with a cloud platform such as AWS, GCP, or Azure is required.

Responsibilities

Design and implement scalable agentic solutions for diverse use cases.
Use 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 the 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.

Overview

Cotiviti is seeking an experienced AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform that will serve as the backbone of our organization's AI initiatives. This role will be responsible for creating a unified interface that enables teams across the company to securely deploy, manage, and access AI agents while ensuring seamless data integration and platform reliability. The role will work closely with Data Scientists, MLOps engineers, Data Engineers, and Product Engineering teams.

Responsibilities

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

Qualifications

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).

About the Company

Cotiviti

Catches billing errors for health insurers

Cotiviti sells software and review services that help US health insurers pay medical claims correctly, catch fraud, and track the quality of care their members receive. Its software for HEDIS, the care-quality scores US health plans report, has passed certification by the nonprofit NCQA every year since 2001. Insurers run claims through its coding and payment-policy checks before paying them, while its auditors review medical records and paid claims to recover overpayments. Clients pay it software fees or a share of the savings it finds. Cotiviti began in 1979 by auditing retailers' payments to suppliers, which it still does, and it is based in South Jordan, Utah, and owned by private equity firms Veritas Capital and KKR.

Company size: 5,001-10,000
Company stage: IPO
Headquarters: South Jordan, UT
Founded: 1979

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