Backend Engineer for Enterprise AI Systems
2 days ago
We are a pioneering force in the development of cutting-edge AI solutions, revolutionizing the way businesses manage customer interactions. Our comprehensive platform empowers enterprises to streamline their operations, leveraging sophisticated AI agents that handle complete workflows across voice and text channels. With a focus on industry-specific solutions, we cater to a diverse range of verticals, including Software, Education, Healthcare, Finance, and more.
Technical Challenges You'll Solve
You will be part of designing and implementing highly available microservices that handle real-time communications, ensuring seamless interactions with our clients' customers. Your expertise will also be instrumental in building scalable systems supporting concurrent AI agent interactions, developing robust data pipelines for training and fine-tuning large language models, and architecting event-driven systems managing real-time voice and chat communications. Furthermore, you will implement secure multi-tenant architecture for enterprise clients, guaranteeing the highest level of security and data protection.
Technical Stack
We utilize a robust technical stack, consisting of 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, and CI/CD: GitHub Actions, ArgoCD.
Key Requirements
To succeed in this role, you should have at least 3 years of experience building scalable backend systems. A strong proficiency in Node.js/TypeScript and NestJS framework is essential, as well as a deep understanding of microservices architecture and domain-driven design. Experience with AWS services, especially EKS and container orchestration, is highly valued. Additionally, you should have a 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, and an understanding of CI/CD pipelines and DevOps practices.
Technical Expectations
In this position, you will be expected to design and implement scalable APIs handling 1000+ requests per 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, and implement monitoring and alerting for production systems.
Growth Opportunities
You will work closely with our founding team, influencing core architectural decisions, learning cutting-edge AI/ML technologies, and building systems that scale from startup to enterprise customers. As a key member of our team, you will contribute to shaping the future of AI-powered customer interactions. You can expect a competitive salary ranging from $120,000 to $180,000 per year, depending on your experience, plus additional benefits such as health insurance, a learning budget, flexible work environment, and latest development hardware.
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