AI Software Engineer
7 days ago
We are a pioneering company in the development of 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 that handle complete workflows across voice/text channels. We cater to various verticals, such as Software, Education, Healthcare, Finance, etc., and provide solutions for India's unicorn companies.
Key Responsibilities- Design and implement highly available microservices handling real-time communications
- Build scalable systems supporting concurrent AI agent interactions
- Develop robust data pipelines for training and fine-tuning LLMs
- Architect event-driven systems managing real-time voice/chat communications
- Implement secure multi-tenant architecture for enterprise clients
- Framework: NestJS with TypeScript and Python
- Infrastructure: AWS EKS, EC2, S3
- Databases: MongoDB, PostgreSQL, Redis
- Message Brokers: Apache Kafka
- Real-time Communication: WebSocket, WebRTC
- Containerization: Docker, Kubernetes
- Monitoring: ELK Stack, Prometheus, Grafana
- CI/CD: GitHub Actions, ArgoCD
- 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
The estimated salary for this position is $120,000 - $180,000 per annum, depending on experience. Additionally, we offer a competitive benefits package, including health insurance, learning budget, flexible work environment, and latest development hardware.
Growth Opportunities- 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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