Backend Engineer / Senior Backend Engineer (India)

Role: Backend Engineer / Senior Backend Engineer (Python)

Location: India (Gurgaon - On-site)

Employment: Full-time

About AI Library

AI Library builds enterprise-grade agentic AI systems that help organisations automate workflows, make faster decisions, and improve operational efficiency. We work with Fortune 500 companies, large Indian enterprises, and global media brands to deploy AI solutions that are secure, scalable, and production-ready.

Our engineering philosophy is built on:

• Innovation that solves real business problems
• Reliable, scalable systems
• High-quality engineering craftsmanship
• Rapid iteration and deployment of AI agents at scale

Role Overview

As a Backend Engineer at AI Library, you will design and maintain backend systems that power our AI agents and infrastructure. You will work on Python-based services, production APIs, data pipelines, and agent orchestration systems. The role includes close collaboration with AI/ML teams, frontend teams, and product teams.

Key Responsibilities

Backend Development

1. Build and optimise backend services, APIs, and microservices in Python
2. Design backend systems that are scalable, secure, and reliable
3. Develop and enhance AI agent backends as part of the broader AI platform

AI Infrastructure

1. Work with AI engineers to deploy and maintain AI agents in production
2. Implement monitoring, observability, and debugging for agent workflows
3. Support integrations with enterprise-grade systems

System Performance & Reliability

1. Improve latency, throughput, and scalability of backend systems
2. Troubleshoot production issues and contribute to system hardening
3. Ensure high availability for mission-critical deployments

Cross-team Collaboration

1. Work closely with product, AI, and frontend teams
2. Provide technical recommendations during design and architecture discussions
3. Maintain clear communication with engineering leadership

Continuous Improvement

1. Introduce new tools, frameworks, and best practices
2. Contribute to internal documentation, onboarding materials, and engineering standards

What Were Looking For

Required Qualifications

• Bachelors or Masters degree from IITs, IIITs, NITs, BITS only (Must)
• Strong hands-on building experience with Python (FastAPI / Flask / Django preferred)
• Must have 7+ years of backend development experience at a well-regarded technology organisation
• Strong understanding of:
• APIs & microservices
• Databases (Postgres, MongoDB, Redis)
• Distributed systems concepts
• Server-side architecture
• Ability to solve complex problems with clean and maintainable code
• Decent communication skills and confidence to be able to interact with customers when needed

Good to Have

• Experience with cloud infrastructure (AWS/GCP/Azure)
• Experience with containerization (Docker, Kubernetes)
• Exposure to AI/ML pipelines or agent frameworks
• Familiarity with Next.js (for API integrations)

Why Join the AI Library

• Competitive compensation + performance bonuses
• Work directly with a Silicon Valley engineering leadership team
• Opportunity to build production AI systems used by enterprises globally
• Rapid growth environment with strong ownership and autonomy
• Professional development, mentorship, and leadership opportunities