Backend Engineer

Overview

Company name: Galileo | HQ Location: San Francisco, California | Website | LinkedIn

Role: Backend Engineer

• Salary: Rs. 40-70 Lakhs per year
• Experience: 4+ years
• Location: Remote, Bangalore
• Type: Full-time

About the Role
We are looking for a Backend Engineer (Python) to join our team and play a crucial role in building advanced generative AI technologies for a diverse range of customers. This is a unique opportunity to work at the cutting edge of AI, developing scalable and high-performance backend systems that power next-generation AI-driven applications.

Key Responsibilities

1. Design, develop, and maintain high-performance backend systems using Python.
2. Build and optimize APIs and microservices that integrate with generative AI models.
3. Work with large-scale data pipelines and distributed computing frameworks.
4. Collaborate with AI researchers, frontend engineers, and product teams to deploy innovative AI-driven solutions.
5. Ensure system scalability, reliability, and efficiency through best software engineering practices.
6. Implement and manage CI/CD pipelines, cloud deployments, and containerization using tools like Docker and Kubernetes.
7. Optimize performance for real-time AI inference and model-serving architectures.

Requirements

1. Strong proficiency in Python and experience with backend frameworks like FastAPI, Flask, or Django.
2. Experience working with AI/ML models, APIs, or distributed systems.
3. Solid understanding of cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker & Kubernetes.
4. Knowledge of databases (SQL & NoSQL) and caching strategies for scalable applications.
5. Prior experience with building and deploying AI-driven applications is a plus.
6. Passion for generative AI, deep learning, and cutting-edge technologies.

About us

At Galileo we are building the first algorithm-powered LLMOps Platform for the enterprise.

Galileo is currently powering ML teams across the Fortune 500 as well as startups across multiple industries.

If you are interested in working at the intersection of Machine Learning and data, alongside industry and academic veterans at a well-funded early stage company going after a big, real and massively underserved problem, we are currently hiring for multiple positions.