Distributed Systems Architect
2 weeks ago
We are seeking a talented individual to take on the role of Backend Engineer. As a key member of our engineering team, you will be responsible for designing and implementing distributed systems that power AI applications.
The Challenge
AI systems generate massive amounts of data that must be processed, routed, and served with microsecond precision. Traditional backends break under AI workloads. We're building infrastructure that treats AI as a first-class citizen where every service, every database query, every message queue is designed for the unique demands of machine learning pipelines.
Your Responsibilities
- You'll design and implement event-driven architectures that can process millions of inference requests, vector similarity searches, and real-time model updates without breaking.
- You'll build microservices in Python (FastAPI/Django/Flask) that handle AI model orchestration.
- You'll design and implement event streaming systems using Kafka for real-time data pipeline processing.
- You'll develop database architectures that include SQL for transactions, NoSQL for scale, and vector DBs for embeddings.
- You'll design and implement search and retrieval systems that return relevant results in
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