Principal Software Engineer - AI

Cotiviti; Mohali; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Cotiviti seeks an experienced AI Engineer to design, build, and maintain a cutting-edge agentic framework and centralized AI platform. This role will enable teams across Cotiviti to securely deploy, manage, and access AI agents while ensuring secure data integration and platform reliability.

You will collaborate with Data Scientists, MLOps, Data Engineers, and Product Engineering teams to drive the AI platform roadmap and ensure scalable, compliant deployments across environments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 8+ years of software engineering experience, including 2+ years 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 (Docker, Kubernetes).
• Cloud platform experience (AWS, GCP, or Azure).

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.

Skills

Python

Agentic AI frameworks

Distributed systems

Microservices

Education

Bachelor's or Master's in CS/Engineering

Tools

LangChain

LangGraph

CrewAI

AutoGen

Docker

Kubernetes

MLflow

Kubeflow

SageMaker

Vertex AI

Databricks

AWS

GCP

Azure

Job description

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.

• 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

• Bachelors 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).