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AI Infrastructure Architect
2 weeks ago
About Us
We're a cutting-edge AI startup focused on revolutionizing language learning. Our AI tutor provides real-time interaction, adapting to users' speech inputs to build fluency faster. We're looking for a skilled Backend Engineer to architect and scale our core infrastructure.
Job Description
In this role, you will design, develop, and maintain the backend systems that power our AI tutor. You'll work at the intersection of AI infrastructure, distributed systems, and real-time data processing—shaping the technology and the team as we grow.
Key Responsibilities
- Infrastructure & Architecture
- Design and scale distributed systems for real-time speech processing.
- Own data pipelines from ingestion to model serving.
- Ensure security, privacy, and compliance for user speech data.
- Performance & Reliability
- Implement robust monitoring, logging, and alerting systems for 24/7 availability.
- Optimize system performance and scalability.
- Team Leadership & Collaboration
- Mentor junior engineers and work closely with AI/ML teams.
- Contribute to hiring efforts as we expand.
Must-Have Requirements
- Experience: 7+ years in backend or platform engineering (focus on distributed systems).
- Cloud & Containers: Proficiency with Docker, Kubernetes, and cloud platforms.
- Real-Time Streaming: Familiarity with audio/video streaming in high-availability environments.
- Databases: Strong SQL skills (PostgreSQL preferred), including query optimization, schema design, and caching layers.
Good-to-Have Skills
- AI/ML Pipeline: Exposure to GPU resource management and distributed tools.
- Domain Experience: Mobile backend knowledge.
- Cloud Expertise: Cloud platforms like AWS, Azure, or GCP.
- Security & Compliance: Understanding of data governance best practices.
If you have any doubts or clarifications, please reach out via email.