Principal AI Engineer

Cotiviti; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Cotiviti is seeking an experienced AI Engineer to design, build, and maintain a cutting edge agentic framework and centralized AI platform. Responsibilities include designing scalable solutions, integrating AI agents into applications, and ensuring compliance with security and regulatory requirements. The ideal candidate will have 8+ years of software engineering experience, strong Python skills, and hands-on experience with AI frameworks. This role offers opportunities to lead technical discussions and mentor junior engineers.

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.
• Strong programming skills in Python.
• Hands on experience with agentic AI frameworks such as LangChain or similar.

Responsibilities

• Design and implement scalable agentic solutions for diverse use cases.
• Work with Product Engineers to integrate AI agents into applications and tools.
• Conduct performance analysis and capacity planning to ensure platform scalability.

Skills

Software engineering

AI/ML platform experience

Python programming

Distributed systems

Containerization

MLOps tools

Education

Bachelor’s or Master’s degree in Computer Science or Engineering

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

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).