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Remotavia
Cotiviti

Principal AI Engineer

Remote in set countriesIndia onlyOther

Posted 11 days ago

Who can apply

India only

Salary

Not disclosed

Level

Senior

Other

Timezone

UTC +5

About the role

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).

Originally posted on Himalayas

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Listing details & historyShow
Employer posted
29 Oct 2026
Last confirmed open
Not yet confirmed
Source
Job board
Degree
Degree required
“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.”
Visa
Not stated
Timezone
Not stated
Languages
Not stated
Location evidence
“Remote — India”

Details are read from the listing text. They are not a guarantee of work authorization; confirm with the employer.

History

  • 9 Nov · Added to Remotavia

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Principal AI Engineer

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