SDE-2

Min Experience

3 years

Location

Bangalore

JobType

full-time

About the role

Overview

Company name: RagaAI Inc | HQ Location: San Francisco Bay Area, California | Website | LinkedIn

Role: SDE-2

  • Salary: Rs. 32-35 lakhs per annum
  • Experience: 3+ years
  • Location: Bangalore
  • Type: Full-time

About the Role:
RagaAI is on a mission to make AI robust and scalable, pushing the boundaries of innovation in AI-driven solutions. As we expand our team, we are looking for a highly skilled SDE 2 (Backend) to join us in our Bangalore office. If you are passionate about building high-performance backend systems for AI applications, this is the place for you.

Key Responsibilities

  1. Design, develop, and optimize backend services that power AI-driven applications.
  2. Work with distributed systems, microservices, and cloud-based architectures to ensure scalability.
  3. Implement and maintain RESTful APIs, GraphQL, and database management for high-performance applications.
  4. Collaborate closely with AI/ML teams to integrate robust backend solutions.
  5. Optimize system performance, reliability, and security while handling large-scale data processing.
  6. Drive code quality, testing strategies, and DevOps best practices.

What We’re Looking For

  1. 3+ years of experience in backend development with a strong grasp of scalability and performance optimization.
  2. Proficiency in Python, Java, Go, or Node.js with experience in building microservices and distributed systems.
  3. Strong experience with databases (SQL & NoSQL) and cloud services like AWS, GCP, or Azure.
  4. Hands-on experience with Docker, Kubernetes, Kafka, and event-driven architectures.
  5. Familiarity with AI/ML model deployment is a plus.
  6. Strong problem-solving skills and a passion for building scalable AI-driven platforms.

 

About the company

About Us:
RagaAI is the #1 AI testing platform which helps enterprises mitigate AI risks and make their models secure and reliable.

The AI-testing methods used by most today are Ad-hoc, which both increases the time-commitment and reduces productivity while building models. Also it leaves un-foreseen risks, so they perform poorly post deployment and thus waste both time and money for the business.

We have built an end-to-end AI testing platform which’ll help enterprises drastically improve their AI development pipeline and prevent inefficiencies and risks post deployment. Visit www.raga.ai to start your AI integrity journey today.

Skills

Python
Java