Backend Engineer for Scalable AI Systems
1 week ago
We are building cutting-edge enterprise-grade AI agents that automate sales and customer support operations. Our comprehensive solution enables businesses to manage the entire customer lifecycle through sophisticated, industry-specific AI agents handling complete workflows across voice/text channels. We cater to various verticals, such as Software, Education, Healthcare, Finance, etc., and are solving problems for some of India's leading companies.
Key ResponsibilitiesYou will be responsible for designing and implementing highly available microservices handling real-time communications, building scalable systems supporting concurrent AI agent interactions, developing robust data pipelines for training and fine-tuning LLMs, architecting event-driven systems managing real-time voice/chat communications, and implementing secure multi-tenant architecture for enterprise clients.
Technical Requirements- 3+ years of experience building scalable backend systems
- Strong proficiency in Node.js/TypeScript and NestJS framework
- Deep understanding of microservices architecture and domain-driven design
- Experience with AWS services, especially EKS and container orchestration
- Solid grasp of system design principles and distributed systems
- Knowledge of real-time communication protocols and WebRTC
- Experience with message queues and event-driven architectures
- Understanding of CI/CD pipelines and DevOps practices
- Design and implement scalable APIs handling 1000+ requests/second
- Build efficient database schemas and optimize query performance
- Implement secure authentication and authorization systems
- Design fault-tolerant microservices with proper error handling
- Create automated testing suites for critical services
- Deploy and manage services on Kubernetes clusters
- Implement monitoring and alerting for production systems
- Competitive salary: ₹80,00,000 - ₹1,20,00,000 per annum
- ESOPs (Employees Stock Ownership Plan)
- Health insurance
- Learning budget
- Flexible work environment
- Latest development hardware
- Work closely with the founding team
- Influence core architectural decisions
- Learn cutting-edge AI/ML technologies
- Build systems that scale from startup to enterprise customers
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