Lead Software Engineer

Cotiviti; India; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Cotiviti seeks a Lead Software Engineer to own core backend services for its centralized AI platform. You will bridge hands-on coding with technical leadership, owning major components while guiding mid-level engineers.

Responsibilities include designing scalable REST APIs, building secure multi‑tenant systems, and mentoring IC3+ engineers. Familiarity with LangChain/LangGraph/AutoGen is a plus.

Qualifications

• 5+ years of backend development experience, with leadership exposure.
• Strong Python expertise and API design for scalable services.
• Experience with relational databases and ORMs.
• Hands-on with Docker/Kubernetes and cloud platforms.

Responsibilities

• Design and deliver core backend services for AI platform.
• Mentor mid-level engineers; drive technical direction.
• Build secure, scalable RESTful APIs and multi‑tenant auth.
• Optimize data access layers and agent lifecycle workflows.
• Lead CI/CD pipelines and automated testing regimes.

Skills

Python

FastAPI

Django REST Framework

Flask

PostgreSQL

MySQL

Distributed systems

Microservices

Docker

Kubernetes

Git

CI/CD

Cloud (AWS/GCP/Azure)

LangChain

LangGraph

AutoGen

Education

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

Tools

SQLAlchemy

Django ORM

Docker

Kubernetes

Git

CI/CD pipelines

Job description

Overview

We are seeking a Lead Software Engineer to design and deliver the core backend services for our centralized AI platform. This role bridges hands‑on engineering and technical leadership — owning major components of the backend while guiding mid-level engineers. You’ll work closely with senior ICs and cross-functional teams to build scalable, secure, and reliable services that power our agentic framework, enabling teams across the company to deploy and manage AI agents seamlessly.

Overview

We are seeking a Lead Software Engineer to design and deliver the core backend services for our centralized AI platform. This role bridges hands‑on engineering and technical leadership — owning major components of the backend while guiding mid-level engineers. You’ll work closely with senior ICs and cross-functional teams to build scalable, secure, and reliable services that power our agentic framework, enabling teams across the company to deploy and manage AI agents seamlessly.

Responsibilities

• Design and implement scalable RESTful API endpoints for the AI platform.
• Build and optimize backend services in Python (FastAPI, Django, or Flask) to handle agent lifecycle management, deployment, and monitoring.
• Contribute to secure authentication and authorization systems supporting multi‑tenant architecture.
• Develop efficient data access layers and database schemas for AI agent operations.
• Implement asynchronous task processing for long‑running AI workflows.
• Collaborate with IC5 engineers on backend architecture and SDK designs, contributing to technical direction while driving execution.
• Provide mentorship to IC3 engineers through code reviews, technical discussions, and best practices.
• Ensure quality and reliability through automated testing, CI/CD pipelines, and adherence to security standards.
• Stay updated on modern backend and AI/agentic frameworks (LangChain, CrewAI, AutoGen, LangGraph).

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of backend development experience, with significant experience building scalable Python applications and APIs.
• Proficiency with modern Python frameworks (FastAPI, Django REST Framework, Flask).
• Solid experience with relational databases (PostgreSQL, MySQL) and ORM frameworks (SQLAlchemy, Django ORM).
• Hands‑on familiarity with distributed systems or microservices.
• Working knowledge of containerization and orchestration (Docker, Kubernetes).
• Experience with Git, CI/CD workflows, and automated testing.
• Exposure to agentic AI frameworks (LangChain, LangGraph, CrewAI, AutoGen) or strong interest in learning.
• Cloud experience (AWS, GCP, or Azure) preferred.
• Demonstrated ability to mentor junior engineers and influence technical decisions.